Query Results
| Number_of_Unique_IDs |
|---|
| 64525 |
| Number_of_Unique_IDs |
|---|
| 64525 |
| Number_of_Unique_IDs |
|---|
| 400616 |
The FREQ Procedure
| MED_PROC_CODE | Count | Percent | Cumulative Frequency |
Cumulative Percent |
|---|---|---|---|---|
| 80074 | 317795 | 10.21 | 317795 | 10.21 |
| 86803 | 2748571 | 88.30 | 3066366 | 98.51 |
| 86804 | 4265 | 0.14 | 3070631 | 98.64 |
| G0472 | 42259 | 1.36 | 3112890 | 100.00 |
The FREQ Procedure
| MED_PROC_CODE | Count | Percent | Cumulative Frequency |
Cumulative Percent |
|---|---|---|---|---|
| 87520 | 28 | 0.01 | 28 | 0.01 |
| 87521 | 37292 | 8.23 | 37320 | 8.24 |
| 87522 | 415670 | 91.76 | 452990 | 100.00 |
The FREQ Procedure
| MED_PROC_CODE | Count | Percent | Cumulative Frequency |
Cumulative Percent |
|---|---|---|---|---|
| 3266F | 101 | 0.11 | 101 | 0.11 |
| 87902 | 90254 | 99.89 | 90355 | 100.00 |
| Number_of_Unique_IDs |
|---|
| 64525 |
The CONTENTS Procedure
| Data Set Name | WORK.OUD_HCV_DAA | Observations | 64525 |
|---|---|---|---|
| Member Type | DATA | Variables | 157 |
| Engine | V9 | Indexes | 0 |
| Created | 07/15/2024 09:37:44 | Observation Length | 1257 |
| Last Modified | 07/15/2024 09:37:44 | Deleted Observations | 0 |
| Protection | Compressed | CHAR | |
| Data Set Type | Reuse Space | NO | |
| Label | Point to Observations | YES | |
| Data Representation | SOLARIS_X86_64, LINUX_X86_64, ALPHA_TRU64, LINUX_IA64 | Sorted | NO |
| Encoding | latin1 Western (ISO) |
| Engine/Host Dependent Information | |
|---|---|
| Data Set Page Size | 65536 |
| Number of Data Set Pages | 779 |
| Number of Data Set Repairs | 0 |
| Filename | /saswork/SAS_workE51800004F22_dph-pr-sgn-lap09/SAS_work15F200004F22_dph-pr-sgn-lap09/oud_hcv_daa.sas7bdat |
| Release Created | 9.0401M7 |
| Host Created | Linux |
| Inode Number | 206831687 |
| Access Permission | rw-rw-r-- |
| Owner Name | abettano1 |
| File Size | 49MB |
| File Size (bytes) | 51118080 |
| Alphabetic List of Variables and Attributes | ||||||
|---|---|---|---|---|---|---|
| # | Variable | Type | Len | Format | Informat | Label |
| 7 | AB_TEST_DATE_1 | Num | 8 | |||
| 8 | AB_TEST_DATE_2 | Num | 8 | |||
| 9 | AB_TEST_DATE_3 | Num | 8 | |||
| 10 | AB_TEST_DATE_4 | Num | 8 | |||
| 11 | AB_TEST_DATE_5 | Num | 8 | |||
| 12 | AB_TEST_DATE_6 | Num | 8 | |||
| 13 | AB_TEST_DATE_7 | Num | 8 | |||
| 14 | AB_TEST_DATE_8 | Num | 8 | |||
| 15 | AB_TEST_DATE_9 | Num | 8 | |||
| 16 | AB_TEST_DATE_10 | Num | 8 | |||
| 17 | AB_TEST_DATE_11 | Num | 8 | |||
| 18 | AB_TEST_DATE_12 | Num | 8 | |||
| 19 | AB_TEST_DATE_13 | Num | 8 | |||
| 20 | AB_TEST_DATE_14 | Num | 8 | |||
| 21 | AB_TEST_DATE_15 | Num | 8 | |||
| 22 | AB_TEST_DATE_16 | Num | 8 | |||
| 23 | AB_TEST_DATE_17 | Num | 8 | |||
| 24 | AB_TEST_DATE_18 | Num | 8 | |||
| 25 | AB_TEST_DATE_19 | Num | 8 | |||
| 26 | AB_TEST_DATE_20 | Num | 8 | |||
| 27 | AB_TEST_DATE_21 | Num | 8 | |||
| 28 | AB_TEST_DATE_22 | Num | 8 | |||
| 29 | AB_TEST_DATE_23 | Num | 8 | |||
| 30 | AB_TEST_DATE_24 | Num | 8 | |||
| 31 | AB_TEST_DATE_25 | Num | 8 | |||
| 32 | AB_TEST_DATE_26 | Num | 8 | |||
| 33 | AB_TEST_DATE_27 | Num | 8 | |||
| 34 | AB_TEST_DATE_28 | Num | 8 | |||
| 35 | AB_TEST_DATE_29 | Num | 8 | |||
| 36 | AB_TEST_DATE_30 | Num | 8 | |||
| 37 | AB_TEST_DATE_31 | Num | 8 | |||
| 38 | AB_TEST_DATE_32 | Num | 8 | |||
| 39 | AB_TEST_DATE_33 | Num | 8 | |||
| 40 | AB_TEST_DATE_34 | Num | 8 | |||
| 41 | AB_TEST_DATE_35 | Num | 8 | |||
| 42 | AB_TEST_DATE_36 | Num | 8 | |||
| 43 | AB_TEST_DATE_37 | Num | 8 | |||
| 44 | AB_TEST_DATE_38 | Num | 8 | |||
| 45 | AB_TEST_DATE_39 | Num | 8 | |||
| 46 | AB_TEST_DATE_40 | Num | 8 | |||
| 47 | AB_TEST_DATE_41 | Num | 8 | |||
| 48 | AB_TEST_DATE_42 | Num | 8 | |||
| 49 | AB_TEST_DATE_43 | Num | 8 | |||
| 50 | AB_TEST_DATE_44 | Num | 8 | |||
| 51 | AB_TEST_DATE_45 | Num | 8 | |||
| 52 | AB_TEST_DATE_46 | Num | 8 | |||
| 53 | AB_TEST_DATE_47 | Num | 8 | |||
| 54 | AB_TEST_DATE_48 | Num | 8 | |||
| 55 | AB_TEST_DATE_49 | Num | 8 | |||
| 56 | AB_TEST_DATE_50 | Num | 8 | |||
| 57 | AB_TEST_DATE_51 | Num | 8 | |||
| 58 | AB_TEST_DATE_52 | Num | 8 | |||
| 59 | AB_TEST_DATE_53 | Num | 8 | |||
| 60 | AB_TEST_DATE_54 | Num | 8 | |||
| 141 | AB_TEST_INDICATOR | Num | 8 | |||
| 145 | AGE_HCV | Num | 8 | |||
| 144 | ANY_HCV_TESTING_INDICATOR | Num | 8 | |||
| 6 | BIRTH_INDICATOR | Num | 8 | |||
| 150 | CONFIRMED_HCV_INDICATOR | Num | 8 | |||
| 156 | DAA_START_INDICATOR | Num | 8 | |||
| 147 | EVENT_DATE_HCV | Num | 8 | |||
| 146 | EVENT_YEAR_HCV | Num | 8 | |||
| 148 | EVER_IDU_HCV_MAT | Num | 8 | |||
| 5 | FIRST_BIRTH_YEAR | Num | 8 | |||
| 155 | FIRST_DAA_DATE | Num | 8 | |||
| 154 | FIRST_DAA_START_YEAR | Num | 8 | |||
| 152 | FIRST_HCV_PRIMARY_DIAG_DATE | Num | 8 | |||
| 118 | GENO_TEST_DATE_1 | Num | 8 | |||
| 119 | GENO_TEST_DATE_2 | Num | 8 | |||
| 120 | GENO_TEST_DATE_3 | Num | 8 | |||
| 121 | GENO_TEST_DATE_4 | Num | 8 | |||
| 122 | GENO_TEST_DATE_5 | Num | 8 | |||
| 123 | GENO_TEST_DATE_6 | Num | 8 | |||
| 124 | GENO_TEST_DATE_7 | Num | 8 | |||
| 125 | GENO_TEST_DATE_8 | Num | 8 | |||
| 126 | GENO_TEST_DATE_9 | Num | 8 | |||
| 127 | GENO_TEST_DATE_10 | Num | 8 | |||
| 128 | GENO_TEST_DATE_11 | Num | 8 | |||
| 129 | GENO_TEST_DATE_12 | Num | 8 | |||
| 130 | GENO_TEST_DATE_13 | Num | 8 | |||
| 131 | GENO_TEST_DATE_14 | Num | 8 | |||
| 132 | GENO_TEST_DATE_15 | Num | 8 | |||
| 133 | GENO_TEST_DATE_16 | Num | 8 | |||
| 134 | GENO_TEST_DATE_17 | Num | 8 | |||
| 135 | GENO_TEST_DATE_18 | Num | 8 | |||
| 136 | GENO_TEST_DATE_19 | Num | 8 | |||
| 137 | GENO_TEST_DATE_20 | Num | 8 | |||
| 138 | GENO_TEST_DATE_21 | Num | 8 | |||
| 139 | GENO_TEST_DATE_22 | Num | 8 | |||
| 140 | GENO_TEST_DATE_23 | Num | 8 | |||
| 143 | GENO_TEST_INDICATOR | Num | 8 | |||
| 151 | HCV_PRIMARY_DIAG | Num | 8 | |||
| 149 | HCV_SEROPOSITIVE_INDICATOR | Num | 8 | |||
| 1 | ID | Char | 9 | $9. | $9. | PHD ID |
| 153 | PHARM_AGE | Num | 8 | |||
| 61 | RNA_TEST_DATE_1 | Num | 8 | |||
| 62 | RNA_TEST_DATE_2 | Num | 8 | |||
| 63 | RNA_TEST_DATE_3 | Num | 8 | |||
| 64 | RNA_TEST_DATE_4 | Num | 8 | |||
| 65 | RNA_TEST_DATE_5 | Num | 8 | |||
| 66 | RNA_TEST_DATE_6 | Num | 8 | |||
| 67 | RNA_TEST_DATE_7 | Num | 8 | |||
| 68 | RNA_TEST_DATE_8 | Num | 8 | |||
| 69 | RNA_TEST_DATE_9 | Num | 8 | |||
| 70 | RNA_TEST_DATE_10 | Num | 8 | |||
| 71 | RNA_TEST_DATE_11 | Num | 8 | |||
| 72 | RNA_TEST_DATE_12 | Num | 8 | |||
| 73 | RNA_TEST_DATE_13 | Num | 8 | |||
| 74 | RNA_TEST_DATE_14 | Num | 8 | |||
| 75 | RNA_TEST_DATE_15 | Num | 8 | |||
| 76 | RNA_TEST_DATE_16 | Num | 8 | |||
| 77 | RNA_TEST_DATE_17 | Num | 8 | |||
| 78 | RNA_TEST_DATE_18 | Num | 8 | |||
| 79 | RNA_TEST_DATE_19 | Num | 8 | |||
| 80 | RNA_TEST_DATE_20 | Num | 8 | |||
| 81 | RNA_TEST_DATE_21 | Num | 8 | |||
| 82 | RNA_TEST_DATE_22 | Num | 8 | |||
| 83 | RNA_TEST_DATE_23 | Num | 8 | |||
| 84 | RNA_TEST_DATE_24 | Num | 8 | |||
| 85 | RNA_TEST_DATE_25 | Num | 8 | |||
| 86 | RNA_TEST_DATE_26 | Num | 8 | |||
| 87 | RNA_TEST_DATE_27 | Num | 8 | |||
| 88 | RNA_TEST_DATE_28 | Num | 8 | |||
| 89 | RNA_TEST_DATE_29 | Num | 8 | |||
| 90 | RNA_TEST_DATE_30 | Num | 8 | |||
| 91 | RNA_TEST_DATE_31 | Num | 8 | |||
| 92 | RNA_TEST_DATE_32 | Num | 8 | |||
| 93 | RNA_TEST_DATE_33 | Num | 8 | |||
| 94 | RNA_TEST_DATE_34 | Num | 8 | |||
| 95 | RNA_TEST_DATE_35 | Num | 8 | |||
| 96 | RNA_TEST_DATE_36 | Num | 8 | |||
| 97 | RNA_TEST_DATE_37 | Num | 8 | |||
| 98 | RNA_TEST_DATE_38 | Num | 8 | |||
| 99 | RNA_TEST_DATE_39 | Num | 8 | |||
| 100 | RNA_TEST_DATE_40 | Num | 8 | |||
| 101 | RNA_TEST_DATE_41 | Num | 8 | |||
| 102 | RNA_TEST_DATE_42 | Num | 8 | |||
| 103 | RNA_TEST_DATE_43 | Num | 8 | |||
| 104 | RNA_TEST_DATE_44 | Num | 8 | |||
| 105 | RNA_TEST_DATE_45 | Num | 8 | |||
| 106 | RNA_TEST_DATE_46 | Num | 8 | |||
| 107 | RNA_TEST_DATE_47 | Num | 8 | |||
| 108 | RNA_TEST_DATE_48 | Num | 8 | |||
| 109 | RNA_TEST_DATE_49 | Num | 8 | |||
| 110 | RNA_TEST_DATE_50 | Num | 8 | |||
| 111 | RNA_TEST_DATE_51 | Num | 8 | |||
| 112 | RNA_TEST_DATE_52 | Num | 8 | |||
| 113 | RNA_TEST_DATE_53 | Num | 8 | |||
| 114 | RNA_TEST_DATE_54 | Num | 8 | |||
| 115 | RNA_TEST_DATE_55 | Num | 8 | |||
| 116 | RNA_TEST_DATE_56 | Num | 8 | |||
| 117 | RNA_TEST_DATE_57 | Num | 8 | |||
| 142 | RNA_TEST_INDICATOR | Num | 8 | |||
| 4 | TOTAL_BIRTHS | Num | 8 | |||
| 3 | final_re | Num | 8 | 3. | 3. | Combined race ethnicity of patient |
| 157 | num_agegrp | Num | 8 | |||
| 2 | oud_age | Num | 8 | |||
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 20996 | 20996 |
| 1 | 43529 | 64525 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 22949 | 22949 |
| 1 | 41576 | 64525 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 47647 | 47647 |
| 1 | 16878 | 64525 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 52728 | 52728 |
| 1 | 11797 | 64525 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 52728 | 52728 |
| 0 | 2092 | 54820 |
| 1 | 9705 | 64525 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 53377 | 53377 |
| 1 | 11148 | 64525 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 59990 | 59990 |
| 1 | 4535 | 64525 |
| BIRTH_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 47834 | 47834 |
| 1 | 16691 | 64525 |
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| . | 52728 | 52728 |
| 2011 | 982 | 53710 |
| 2012 | 1209 | 54919 |
| 2013 | 1338 | 56257 |
| 2014 | 1441 | 57698 |
| 2015 | 1462 | 59160 |
| 2016 | 1419 | 60579 |
| 2017 | 1310 | 61889 |
| 2018 | 1074 | 62963 |
| 2019 | 732 | 63695 |
| 2020 | 435 | 64130 |
| 2021 | 395 | 64525 |
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 59990 | 59990 |
| 2014 | 143 | 60133 |
| 2015 | 197 | 60330 |
| 2016 | 579 | 60909 |
| 2017 | 876 | 61785 |
| 2018 | 795 | 62580 |
| 2019 | 879 | 63459 |
| 2020 | 516 | 63975 |
| 2021 | 550 | 64525 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 48887 | 48887 |
| 1 | 3841 | 52728 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 49958 | 49958 |
| 1 | 2770 | 52728 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 51360 | 51360 |
| 1 | 1368 | 52728 |
| BIRTH_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 40046 | 40046 |
| 1 | 12682 | 52728 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1523 | 1523 |
| 1 | 569 | 2092 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1736 | 1736 |
| 1 | 356 | 2092 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2027 | 2027 |
| 1 | 65 | 2092 |
| BIRTH_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1511 | 1511 |
| 1 | 581 | 2092 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2967 | 2967 |
| 1 | 6738 | 9705 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3879 | 3879 |
| 1 | 5826 | 9705 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 6603 | 6603 |
| 1 | 3102 | 9705 |
| BIRTH_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 6277 | 6277 |
| 1 | 3428 | 9705 |
The FREQ Procedure
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 48887 | 48887 |
| 1 | 4490 | 53377 |
The FREQ Procedure
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3841 | 3841 |
| 1 | 7307 | 11148 |
The FREQ Procedure
| AB_TEST_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 22949 | 22949 |
| 2014 | 10345 | 33294 |
| 2015 | 9967 | 43261 |
| 2016 | 11088 | 54349 |
| 2017 | 11796 | 66145 |
| 2018 | 10809 | 76954 |
| 2019 | 11726 | 88680 |
| 2020 | 8501 | 97181 |
| 2021 | 10126 | 107307 |
The FREQ Procedure
| AB_TEST_YEAR | Count | Cumulative Frequency |
|---|---|---|
| 2014 | 287344 | 287344 |
| 2015 | 287398 | 574742 |
| 2016 | 270182 | 844924 |
| 2017 | 329258 | 1174182 |
| 2018 | 300475 | 1474657 |
| 2019 | 311252 | 1785909 |
| 2020 | 255711 | 2041620 |
| 2021 | 427729 | 2469349 |
The FREQ Procedure
| BIRTH_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1967 | 1967 |
| 1 | 1119 | 3086 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 789 | 789 |
| 1 | 2297 | 3086 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 961 | 961 |
| 1 | 2125 | 3086 |
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| 2014 | 71 | 71 |
| 2015 | 113 | 184 |
| 2016 | 358 | 542 |
| 2017 | 586 | 1128 |
| 2018 | 559 | 1687 |
| 2019 | 648 | 2335 |
| 2020 | 356 | 2691 |
| 2021 | 395 | 3086 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 623 | 623 |
| 1 | 856 | 1479 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 634 | 634 |
| 1 | 845 | 1479 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1282 | 1282 |
| 1 | 197 | 1479 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1319 | 1319 |
| 1 | 160 | 1479 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 1319 | 1319 |
| 0 | 18 | 1337 |
| 1 | 142 | 1479 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3597 | 3597 |
| 1 | 9153 | 12750 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3843 | 3843 |
| 1 | 8907 | 12750 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 9014 | 9014 |
| 1 | 3736 | 12750 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 9408 | 9408 |
| 1 | 3342 | 12750 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 9408 | 9408 |
| 0 | 501 | 9909 |
| 1 | 2841 | 12750 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 4291 | 4291 |
| 1 | 11213 | 15504 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 4738 | 4738 |
| 1 | 10766 | 15504 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 10887 | 10887 |
| 1 | 4617 | 15504 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 12010 | 12010 |
| 1 | 3494 | 15504 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 12010 | 12010 |
| 0 | 595 | 12605 |
| 1 | 2899 | 15504 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 4546 | 4546 |
| 1 | 9830 | 14376 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 5014 | 5014 |
| 1 | 9362 | 14376 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 10547 | 10547 |
| 1 | 3829 | 14376 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 11967 | 11967 |
| 1 | 2409 | 14376 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 11967 | 11967 |
| 0 | 459 | 12426 |
| 1 | 1950 | 14376 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 7939 | 7939 |
| 1 | 12477 | 20416 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 8720 | 8720 |
| 1 | 11696 | 20416 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 15917 | 15917 |
| 1 | 4499 | 20416 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 18024 | 18024 |
| 1 | 2392 | 20416 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 18024 | 18024 |
| 0 | 519 | 18543 |
| 1 | 1873 | 20416 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 59 | 59 |
| 1 | 83 | 142 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 42 | 42 |
| 1 | 100 | 142 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 100 | 100 |
| 1 | 42 | 142 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1120 | 1120 |
| 1 | 1721 | 2841 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 857 | 857 |
| 1 | 1984 | 2841 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2005 | 2005 |
| 1 | 836 | 2841 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1140 | 1140 |
| 1 | 1759 | 2899 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 872 | 872 |
| 1 | 2027 | 2899 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1953 | 1953 |
| 1 | 946 | 2899 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 789 | 789 |
| 1 | 1161 | 1950 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 593 | 593 |
| 1 | 1357 | 1950 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1293 | 1293 |
| 1 | 657 | 1950 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 771 | 771 |
| 1 | 1102 | 1873 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 603 | 603 |
| 1 | 1270 | 1873 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1252 | 1252 |
| 1 | 621 | 1873 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 42 | 42 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 40 | 42 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 13 | 13 |
| 1 | 29 | 42 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 19 | 19 |
| 1 | 23 | 42 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 830 | 830 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 22 | 22 |
| 1 | 808 | 830 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 212 | 212 |
| 1 | 618 | 830 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 258 | 258 |
| 1 | 572 | 830 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 942 | 942 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 20 | 20 |
| 1 | 922 | 942 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 228 | 228 |
| 1 | 714 | 942 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 288 | 288 |
| 1 | 654 | 942 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 653 | 653 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 24 | 24 |
| 1 | 629 | 653 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 182 | 182 |
| 1 | 471 | 653 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 204 | 204 |
| 1 | 449 | 653 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 619 | 619 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 22 | 22 |
| 1 | 597 | 619 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 154 | 154 |
| 1 | 465 | 619 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 192 | 192 |
| 1 | 427 | 619 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 135 | 135 |
| 2012 | 255 | 390 |
| 2013 | 337 | 727 |
| 2014 | 397 | 1124 |
| 2015 | 446 | 1570 |
| 2016 | 408 | 1978 |
| 2017 | 347 | 2325 |
| 2018 | 314 | 2639 |
| 2019 | 166 | 2805 |
| 2020 | 94 | 2899 |
| 2021 | 84 | 2983 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 294 | 294 |
| 2012 | 354 | 648 |
| 2013 | 328 | 976 |
| 2014 | 349 | 1325 |
| 2015 | 332 | 1657 |
| 2016 | 338 | 1995 |
| 2017 | 310 | 2305 |
| 2018 | 250 | 2555 |
| 2019 | 153 | 2708 |
| 2020 | 99 | 2807 |
| 2021 | 92 | 2899 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 201 | 201 |
| 2012 | 221 | 422 |
| 2013 | 240 | 662 |
| 2014 | 240 | 902 |
| 2015 | 229 | 1131 |
| 2016 | 206 | 1337 |
| 2017 | 178 | 1515 |
| 2018 | 160 | 1675 |
| 2019 | 143 | 1818 |
| 2020 | 74 | 1892 |
| 2021 | 58 | 1950 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 207 | 207 |
| 2012 | 214 | 421 |
| 2013 | 239 | 660 |
| 2014 | 216 | 876 |
| 2015 | 188 | 1064 |
| 2016 | 204 | 1268 |
| 2017 | 192 | 1460 |
| 2018 | 150 | 1610 |
| 2019 | 108 | 1718 |
| 2020 | 73 | 1791 |
| 2021 | 82 | 1873 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 18 | 18 |
| 2012 | 16 | 34 |
| 2013 | 53 | 87 |
| 2014 | 63 | 150 |
| 2015 | 79 | 229 |
| 2016 | 78 | 307 |
| 2017 | 85 | 392 |
| 2018 | 48 | 440 |
| 2019 | 35 | 475 |
| 2020 | 29 | 504 |
| 2021 | 15 | 519 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 47 | 47 |
| 2012 | 54 | 101 |
| 2013 | 48 | 149 |
| 2014 | 61 | 210 |
| 2015 | 81 | 291 |
| 2016 | 70 | 361 |
| 2017 | 77 | 438 |
| 2018 | 52 | 490 |
| 2019 | 52 | 542 |
| 2020 | 30 | 572 |
| 2021 | 23 | 595 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 37 | 37 |
| 2012 | 47 | 84 |
| 2013 | 45 | 129 |
| 2014 | 52 | 181 |
| 2015 | 55 | 236 |
| 2016 | 54 | 290 |
| 2017 | 61 | 351 |
| 2018 | 46 | 397 |
| 2019 | 31 | 428 |
| 2020 | 13 | 441 |
| 2021 | 18 | 459 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 43 | 43 |
| 2012 | 48 | 91 |
| 2013 | 48 | 139 |
| 2014 | 63 | 202 |
| 2015 | 52 | 254 |
| 2016 | 61 | 315 |
| 2017 | 60 | 375 |
| 2018 | 54 | 429 |
| 2019 | 44 | 473 |
| 2020 | 23 | 496 |
| 2021 | 23 | 519 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 2105 | 2105 |
| 2014 | 15 | 2120 |
| 2015 | 25 | 2145 |
| 2016 | 78 | 2223 |
| 2017 | 178 | 2401 |
| 2018 | 148 | 2549 |
| 2019 | 215 | 2764 |
| 2020 | 103 | 2867 |
| 2021 | 116 | 2983 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 1953 | 1953 |
| 2014 | 20 | 1973 |
| 2015 | 32 | 2005 |
| 2016 | 120 | 2125 |
| 2017 | 171 | 2296 |
| 2018 | 173 | 2469 |
| 2019 | 178 | 2647 |
| 2020 | 114 | 2761 |
| 2021 | 138 | 2899 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 1293 | 1293 |
| 2014 | 15 | 1308 |
| 2015 | 30 | 1338 |
| 2016 | 78 | 1416 |
| 2017 | 124 | 1540 |
| 2018 | 129 | 1669 |
| 2019 | 137 | 1806 |
| 2020 | 66 | 1872 |
| 2021 | 78 | 1950 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 1252 | 1252 |
| 2014 | 22 | 1274 |
| 2015 | 26 | 1300 |
| 2016 | 83 | 1383 |
| 2017 | 114 | 1497 |
| 2018 | 111 | 1608 |
| 2019 | 120 | 1728 |
| 2020 | 79 | 1807 |
| 2021 | 66 | 1873 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 16866 | 16866 |
| 1 | 35359 | 52225 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 18555 | 18555 |
| 1 | 33670 | 52225 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 37509 | 37509 |
| 1 | 14716 | 52225 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 41772 | 41772 |
| 1 | 10453 | 52225 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 41772 | 41772 |
| 0 | 1827 | 43599 |
| 1 | 8626 | 52225 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 974 | 974 |
| 1 | 2700 | 3674 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1038 | 1038 |
| 1 | 2636 | 3674 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3023 | 3023 |
| 1 | 651 | 3674 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3217 | 3217 |
| 1 | 457 | 3674 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 3217 | 3217 |
| 0 | 89 | 3306 |
| 1 | 368 | 3674 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 154 | 154 |
| 1 | 199 | 353 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 160 | 160 |
| 1 | 193 | 353 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 322 | 322 |
| 1 | 31 | 353 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 333 | 333 |
| 1 | 20 | 353 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 333 | 333 |
| 0 | * | 339 |
| 1 | 14 | 353 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1631 | 1631 |
| 1 | 4364 | 5995 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1765 | 1765 |
| 1 | 4230 | 5995 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 4772 | 4772 |
| 1 | 1223 | 5995 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 5223 | 5223 |
| 1 | 772 | 5995 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 5223 | 5223 |
| 0 | 147 | 5370 |
| 1 | 625 | 5995 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 356 | 356 |
| 1 | 503 | 859 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 369 | 369 |
| 1 | 490 | 859 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 726 | 726 |
| 1 | 133 | 859 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 768 | 768 |
| 1 | 91 | 859 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 768 | 768 |
| 0 | 21 | 789 |
| 1 | 70 | 859 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1015 | 1015 |
| 1 | 404 | 1419 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1062 | 1062 |
| 1 | 357 | 1419 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1295 | 1295 |
| 1 | 124 | 1419 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1415 | 1415 |
| 1 | * | 1419 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 1415 | 1415 |
| 0 | * | 1417 |
| 1 | * | 1419 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3431 | 3431 |
| 1 | 5195 | 8626 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2602 | 2602 |
| 1 | 6024 | 8626 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 5857 | 5857 |
| 1 | 2769 | 8626 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 131 | 131 |
| 1 | 237 | 368 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 111 | 111 |
| 1 | 257 | 368 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 244 | 244 |
| 1 | 124 | 368 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | 14 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | 14 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 12 | 12 |
| 1 | * | 14 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 271 | 271 |
| 1 | 354 | 625 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 218 | 218 |
| 1 | 407 | 625 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 435 | 435 |
| 1 | 190 | 625 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 37 | 37 |
| 1 | 33 | 70 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 29 | 29 |
| 1 | 41 | 70 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 53 | 53 |
| 1 | 17 | 70 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 2755 | 2755 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 78 | 78 |
| 1 | 2677 | 2755 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 717 | 717 |
| 1 | 2038 | 2755 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 876 | 876 |
| 1 | 1879 | 2755 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 124 | 124 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 121 | 124 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 30 | 30 |
| 1 | 94 | 124 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 34 | 34 |
| 1 | 90 | 124 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 188 | 188 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 180 | 188 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 36 | 36 |
| 1 | 152 | 188 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 45 | 45 |
| 1 | 143 | 188 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 17 | 17 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 16 | 17 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 12 | 17 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 12 | 17 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 2755 | 2755 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 78 | 78 |
| 1 | 2677 | 2755 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 717 | 717 |
| 1 | 2038 | 2755 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 876 | 876 |
| 1 | 1879 | 2755 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 124 | 124 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 121 | 124 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 30 | 30 |
| 1 | 94 | 124 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 34 | 34 |
| 1 | 90 | 124 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 188 | 188 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 180 | 188 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 36 | 36 |
| 1 | 152 | 188 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 45 | 45 |
| 1 | 143 | 188 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 17 | 17 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 16 | 17 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 12 | 17 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 12 | 17 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 760 | 760 |
| 2012 | 947 | 1707 |
| 2013 | 1035 | 2742 |
| 2014 | 1089 | 3831 |
| 2015 | 1082 | 4913 |
| 2016 | 1024 | 5937 |
| 2017 | 885 | 6822 |
| 2018 | 765 | 7587 |
| 2019 | 486 | 8073 |
| 2020 | 289 | 8362 |
| 2021 | 264 | 8626 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 22 | 22 |
| 2012 | 32 | 54 |
| 2013 | 38 | 92 |
| 2014 | 36 | 128 |
| 2015 | 42 | 170 |
| 2016 | 57 | 227 |
| 2017 | 51 | 278 |
| 2018 | 34 | 312 |
| 2019 | 31 | 343 |
| 2020 | 12 | 355 |
| 2021 | 13 | 368 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | * | * |
| 2013 | * | * |
| 2014 | * | * |
| 2015 | * | * |
| 2016 | * | * |
| 2017 | * | 11 |
| 2018 | * | 12 |
| 2021 | * | 14 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 51 | 51 |
| 2012 | 60 | 111 |
| 2013 | 60 | 171 |
| 2014 | 65 | 236 |
| 2015 | 64 | 300 |
| 2016 | 63 | 363 |
| 2017 | 82 | 445 |
| 2018 | 64 | 509 |
| 2019 | 47 | 556 |
| 2020 | 36 | 592 |
| 2021 | 33 | 625 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | * | * |
| 2012 | * | * |
| 2013 | * | 17 |
| 2014 | * | 26 |
| 2015 | * | 31 |
| 2016 | * | 41 |
| 2017 | * | 48 |
| 2018 | * | 57 |
| 2019 | * | 63 |
| 2020 | * | 66 |
| 2021 | * | 70 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | * | * |
| 2018 | * | * |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 134 | 134 |
| 2012 | 138 | 272 |
| 2013 | 174 | 446 |
| 2014 | 212 | 658 |
| 2015 | 231 | 889 |
| 2016 | 234 | 1123 |
| 2017 | 241 | 1364 |
| 2018 | 176 | 1540 |
| 2019 | 141 | 1681 |
| 2020 | 79 | 1760 |
| 2021 | 67 | 1827 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | * | * |
| 2012 | * | * |
| 2013 | * | 17 |
| 2014 | * | 27 |
| 2015 | 12 | 39 |
| 2016 | * | 48 |
| 2017 | 13 | 61 |
| 2018 | * | 71 |
| 2019 | * | 79 |
| 2020 | * | 84 |
| 2021 | * | 89 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | * | * |
| 2012 | * | * |
| 2015 | * | * |
| 2017 | * | * |
| 2019 | * | * |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | * | * |
| 2012 | 15 | 23 |
| 2013 | * | 33 |
| 2014 | 17 | 50 |
| 2015 | 19 | 69 |
| 2016 | 17 | 86 |
| 2017 | 26 | 112 |
| 2018 | * | 122 |
| 2019 | * | 131 |
| 2020 | * | 141 |
| 2021 | * | 147 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2012 | * | * |
| 2013 | * | * |
| 2015 | * | * |
| 2016 | * | 12 |
| 2017 | * | 14 |
| 2018 | * | 16 |
| 2019 | * | 19 |
| 2020 | * | 20 |
| 2021 | * | 21 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2018 | * | * |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 5857 | 5857 |
| 2014 | 63 | 5920 |
| 2015 | 99 | 6019 |
| 2016 | 323 | 6342 |
| 2017 | 537 | 6879 |
| 2018 | 499 | 7378 |
| 2019 | 575 | 7953 |
| 2020 | 323 | 8276 |
| 2021 | 350 | 8626 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 244 | 244 |
| 2014 | * | 245 |
| 2015 | * | 250 |
| 2016 | * | 260 |
| 2017 | 19 | 279 |
| 2018 | 25 | 304 |
| 2019 | 31 | 335 |
| 2020 | 15 | 350 |
| 2021 | 18 | 368 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 12 | 12 |
| 2019 | * | 14 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 435 | 435 |
| 2014 | * | 442 |
| 2015 | * | 451 |
| 2016 | 23 | 474 |
| 2017 | 28 | 502 |
| 2018 | 34 | 536 |
| 2019 | 39 | 575 |
| 2020 | 23 | 598 |
| 2021 | 27 | 625 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 53 | 53 |
| 2014 | * | 54 |
| 2016 | * | 57 |
| 2017 | * | 60 |
| 2018 | * | 63 |
| 2019 | * | 66 |
| 2020 | * | 67 |
| 2021 | * | 70 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | * | * |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 18348 | 18348 |
| 1 | 29486 | 47834 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 19960 | 19960 |
| 1 | 27874 | 47834 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 36405 | 36405 |
| 1 | 11429 | 47834 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 40046 | 40046 |
| 1 | 7788 | 47834 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 40046 | 40046 |
| 0 | 1511 | 41557 |
| 1 | 6277 | 47834 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2648 | 2648 |
| 1 | 14043 | 16691 |
| AB_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2989 | 2989 |
| 1 | 13702 | 16691 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 11242 | 11242 |
| 1 | 5449 | 16691 |
| HCV_SEROPOSITIVE_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 12682 | 12682 |
| 1 | 4009 | 16691 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 12682 | 12682 |
| 0 | 581 | 13263 |
| 1 | 3428 | 16691 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2570 | 2570 |
| 1 | 3707 | 6277 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2045 | 2045 |
| 1 | 4232 | 6277 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 4298 | 4298 |
| 1 | 1979 | 6277 |
The FREQ Procedure
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1309 | 1309 |
| 1 | 2119 | 3428 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 922 | 922 |
| 1 | 2506 | 3428 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2305 | 2305 |
| 1 | 1123 | 3428 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 1967 | 1967 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 63 | 63 |
| 1 | 1904 | 1967 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 536 | 536 |
| 1 | 1431 | 1967 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 651 | 651 |
| 1 | 1316 | 1967 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 1119 | 1119 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 27 | 27 |
| 1 | 1092 | 1119 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 253 | 253 |
| 1 | 866 | 1119 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 310 | 310 |
| 1 | 809 | 1119 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 565 | 565 |
| 2012 | 681 | 1246 |
| 2013 | 732 | 1978 |
| 2014 | 770 | 2748 |
| 2015 | 750 | 3498 |
| 2016 | 742 | 4240 |
| 2017 | 675 | 4915 |
| 2018 | 558 | 5473 |
| 2019 | 383 | 5856 |
| 2020 | 207 | 6063 |
| 2021 | 214 | 6277 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 272 | 272 |
| 2012 | 363 | 635 |
| 2013 | 412 | 1047 |
| 2014 | 432 | 1479 |
| 2015 | 445 | 1924 |
| 2016 | 414 | 2338 |
| 2017 | 352 | 2690 |
| 2018 | 316 | 3006 |
| 2019 | 187 | 3193 |
| 2020 | 133 | 3326 |
| 2021 | 102 | 3428 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 112 | 112 |
| 2012 | 123 | 235 |
| 2013 | 128 | 363 |
| 2014 | 156 | 519 |
| 2015 | 199 | 718 |
| 2016 | 193 | 911 |
| 2017 | 208 | 1119 |
| 2018 | 152 | 1271 |
| 2019 | 127 | 1398 |
| 2020 | 54 | 1452 |
| 2021 | 59 | 1511 |
The FREQ Procedure
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 33 | 33 |
| 2012 | 42 | 75 |
| 2013 | 66 | 141 |
| 2014 | 83 | 224 |
| 2015 | 68 | 292 |
| 2016 | 70 | 362 |
| 2017 | 75 | 437 |
| 2018 | 48 | 485 |
| 2019 | 35 | 520 |
| 2020 | 41 | 561 |
| 2021 | 20 | 581 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 4298 | 4298 |
| 2014 | 54 | 4352 |
| 2015 | 73 | 4425 |
| 2016 | 243 | 4668 |
| 2017 | 366 | 5034 |
| 2018 | 381 | 5415 |
| 2019 | 408 | 5823 |
| 2020 | 220 | 6043 |
| 2021 | 234 | 6277 |
The FREQ Procedure
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 2305 | 2305 |
| 2014 | 18 | 2323 |
| 2015 | 40 | 2363 |
| 2016 | 116 | 2479 |
| 2017 | 221 | 2700 |
| 2018 | 180 | 2880 |
| 2019 | 242 | 3122 |
| 2020 | 142 | 3264 |
| 2021 | 164 | 3428 |
| Number_of_Unique_IDs |
|---|
| 377 |
The FREQ Procedure
| AB_TEST_YEAR | Count | Percent | Cumulative Frequency |
Cumulative Percent |
|---|---|---|---|---|
| 2014 | 1185 | 16.71 | 1185 | 16.71 |
| 2015 | 1001 | 14.11 | 2186 | 30.82 |
| 2016 | 912 | 12.86 | 3098 | 43.68 |
| 2017 | 922 | 13.00 | 4020 | 56.68 |
| 2018 | 824 | 11.62 | 4844 | 68.30 |
| 2019 | 846 | 11.93 | 5690 | 80.23 |
| 2020 | 678 | 9.56 | 6368 | 89.79 |
| 2021 | 724 | 10.21 | 7092 | 100.00 |
The FREQ Procedure
| RNA_TEST_YEAR | Count | Percent | Cumulative Frequency |
Cumulative Percent |
|---|---|---|---|---|
| 2014 | 496 | 16.68 | 496 | 16.68 |
| 2015 | 392 | 13.19 | 888 | 29.87 |
| 2016 | 471 | 15.84 | 1359 | 45.71 |
| 2017 | 434 | 14.60 | 1793 | 60.31 |
| 2018 | 341 | 11.47 | 2134 | 71.78 |
| 2019 | 344 | 11.57 | 2478 | 83.35 |
| 2020 | 246 | 8.27 | 2724 | 91.62 |
| 2021 | 249 | 8.38 | 2973 | 100.00 |
| Number_of_Unique_IDs |
|---|
| 5851 |
The CONTENTS Procedure
| Data Set Name | WORK.INFANT_DAA | Observations | 5851 |
|---|---|---|---|
| Member Type | DATA | Variables | 177 |
| Engine | V9 | Indexes | 0 |
| Created | 07/15/2024 09:45:39 | Observation Length | 1414 |
| Last Modified | 07/15/2024 09:45:39 | Deleted Observations | 0 |
| Protection | Compressed | CHAR | |
| Data Set Type | Reuse Space | NO | |
| Label | Point to Observations | YES | |
| Data Representation | SOLARIS_X86_64, LINUX_X86_64, ALPHA_TRU64, LINUX_IA64 | Sorted | NO |
| Encoding | latin1 Western (ISO) |
| Engine/Host Dependent Information | |
|---|---|
| Data Set Page Size | 65536 |
| Number of Data Set Pages | 78 |
| Number of Data Set Repairs | 0 |
| Filename | /saswork/SAS_workE51800004F22_dph-pr-sgn-lap09/SAS_work15F200004F22_dph-pr-sgn-lap09/infant_daa.sas7bdat |
| Release Created | 9.0401M7 |
| Host Created | Linux |
| Inode Number | 206831704 |
| Access Permission | rw-rw-r-- |
| Owner Name | abettano1 |
| File Size | 5MB |
| File Size (bytes) | 5177344 |
| Alphabetic List of Variables and Attributes | ||||||
|---|---|---|---|---|---|---|
| # | Variable | Type | Len | Format | Informat | Label |
| 18 | AB_TEST_DATE_1 | Num | 8 | |||
| 19 | AB_TEST_DATE_2 | Num | 8 | |||
| 20 | AB_TEST_DATE_3 | Num | 8 | |||
| 21 | AB_TEST_DATE_4 | Num | 8 | |||
| 22 | AB_TEST_DATE_5 | Num | 8 | |||
| 23 | AB_TEST_DATE_6 | Num | 8 | |||
| 24 | AB_TEST_DATE_7 | Num | 8 | |||
| 25 | AB_TEST_DATE_8 | Num | 8 | |||
| 26 | AB_TEST_DATE_9 | Num | 8 | |||
| 27 | AB_TEST_DATE_10 | Num | 8 | |||
| 28 | AB_TEST_DATE_11 | Num | 8 | |||
| 29 | AB_TEST_DATE_12 | Num | 8 | |||
| 30 | AB_TEST_DATE_13 | Num | 8 | |||
| 31 | AB_TEST_DATE_14 | Num | 8 | |||
| 32 | AB_TEST_DATE_15 | Num | 8 | |||
| 33 | AB_TEST_DATE_16 | Num | 8 | |||
| 34 | AB_TEST_DATE_17 | Num | 8 | |||
| 35 | AB_TEST_DATE_18 | Num | 8 | |||
| 36 | AB_TEST_DATE_19 | Num | 8 | |||
| 37 | AB_TEST_DATE_20 | Num | 8 | |||
| 38 | AB_TEST_DATE_21 | Num | 8 | |||
| 39 | AB_TEST_DATE_22 | Num | 8 | |||
| 40 | AB_TEST_DATE_23 | Num | 8 | |||
| 41 | AB_TEST_DATE_24 | Num | 8 | |||
| 42 | AB_TEST_DATE_25 | Num | 8 | |||
| 43 | AB_TEST_DATE_26 | Num | 8 | |||
| 44 | AB_TEST_DATE_27 | Num | 8 | |||
| 45 | AB_TEST_DATE_28 | Num | 8 | |||
| 46 | AB_TEST_DATE_29 | Num | 8 | |||
| 47 | AB_TEST_DATE_30 | Num | 8 | |||
| 48 | AB_TEST_DATE_31 | Num | 8 | |||
| 49 | AB_TEST_DATE_32 | Num | 8 | |||
| 50 | AB_TEST_DATE_33 | Num | 8 | |||
| 51 | AB_TEST_DATE_34 | Num | 8 | |||
| 52 | AB_TEST_DATE_35 | Num | 8 | |||
| 53 | AB_TEST_DATE_36 | Num | 8 | |||
| 54 | AB_TEST_DATE_37 | Num | 8 | |||
| 55 | AB_TEST_DATE_38 | Num | 8 | |||
| 56 | AB_TEST_DATE_39 | Num | 8 | |||
| 57 | AB_TEST_DATE_40 | Num | 8 | |||
| 58 | AB_TEST_DATE_41 | Num | 8 | |||
| 59 | AB_TEST_DATE_42 | Num | 8 | |||
| 60 | AB_TEST_DATE_43 | Num | 8 | |||
| 61 | AB_TEST_DATE_44 | Num | 8 | |||
| 62 | AB_TEST_DATE_45 | Num | 8 | |||
| 63 | AB_TEST_DATE_46 | Num | 8 | |||
| 64 | AB_TEST_DATE_47 | Num | 8 | |||
| 65 | AB_TEST_DATE_48 | Num | 8 | |||
| 66 | AB_TEST_DATE_49 | Num | 8 | |||
| 67 | AB_TEST_DATE_50 | Num | 8 | |||
| 68 | AB_TEST_DATE_51 | Num | 8 | |||
| 69 | AB_TEST_DATE_52 | Num | 8 | |||
| 70 | AB_TEST_DATE_53 | Num | 8 | |||
| 71 | AB_TEST_DATE_54 | Num | 8 | |||
| 152 | AB_TEST_INDICATOR | Num | 8 | |||
| 169 | AGE_AT_DX | Num | 8 | |||
| 162 | AGE_AT_FIRST_AB_TEST | Num | 8 | |||
| 163 | AGE_AT_FIRST_RNA_TEST | Num | 8 | |||
| 161 | AGE_AT_FIRST_TEST | Num | 8 | |||
| 176 | AGE_DAA_START | Num | 8 | |||
| 164 | AGE_YRS_AT_FIRST_AB_TEST | Num | 8 | |||
| 165 | AGE_YRS_AT_FIRST_RNA_TEST | Num | 8 | |||
| 166 | AGE_YRS_AT_FIRST_TEST | Num | 8 | |||
| 155 | ANY_HCV_TESTING_INDICATOR | Num | 8 | |||
| 158 | APPROPRIATE_AB_Testing | Num | 8 | |||
| 159 | APPROPRIATE_RNA_Testing | Num | 8 | |||
| 160 | APPROPRIATE_Testing | Num | 8 | |||
| 3 | BIRTH_LINK_ID | Num | 8 | |||
| 171 | CONFIRMED_HCV_INDICATOR | Num | 8 | |||
| 177 | DAA_START_INDICATOR | Num | 8 | |||
| 6 | DOB_INFANT_TBL | Num | 8 | |||
| 7 | DOB_MOM_TBL | Num | 8 | |||
| 168 | EVENT_DATE_HCV | Num | 8 | |||
| 167 | EVENT_YEAR_HCV | Num | 8 | |||
| 175 | FIRST_DAA_DATE | Num | 8 | |||
| 174 | FIRST_DAA_START_YEAR | Num | 8 | |||
| 173 | FIRST_HCV_PRIMARY_DIAG_DATE | Num | 8 | |||
| 129 | GENO_TEST_DATE_1 | Num | 8 | |||
| 130 | GENO_TEST_DATE_2 | Num | 8 | |||
| 131 | GENO_TEST_DATE_3 | Num | 8 | |||
| 132 | GENO_TEST_DATE_4 | Num | 8 | |||
| 133 | GENO_TEST_DATE_5 | Num | 8 | |||
| 134 | GENO_TEST_DATE_6 | Num | 8 | |||
| 135 | GENO_TEST_DATE_7 | Num | 8 | |||
| 136 | GENO_TEST_DATE_8 | Num | 8 | |||
| 137 | GENO_TEST_DATE_9 | Num | 8 | |||
| 138 | GENO_TEST_DATE_10 | Num | 8 | |||
| 139 | GENO_TEST_DATE_11 | Num | 8 | |||
| 140 | GENO_TEST_DATE_12 | Num | 8 | |||
| 141 | GENO_TEST_DATE_13 | Num | 8 | |||
| 142 | GENO_TEST_DATE_14 | Num | 8 | |||
| 143 | GENO_TEST_DATE_15 | Num | 8 | |||
| 144 | GENO_TEST_DATE_16 | Num | 8 | |||
| 145 | GENO_TEST_DATE_17 | Num | 8 | |||
| 146 | GENO_TEST_DATE_18 | Num | 8 | |||
| 147 | GENO_TEST_DATE_19 | Num | 8 | |||
| 148 | GENO_TEST_DATE_20 | Num | 8 | |||
| 149 | GENO_TEST_DATE_21 | Num | 8 | |||
| 150 | GENO_TEST_DATE_22 | Num | 8 | |||
| 151 | GENO_TEST_DATE_23 | Num | 8 | |||
| 154 | GENO_TEST_INDICATOR | Num | 8 | |||
| 172 | HCV_PRIMARY_DIAG | Num | 8 | |||
| 170 | HCV_SEROPOSITIVE_INDICATOR | Num | 8 | |||
| 12 | HIV_DIAGNOSIS | Num | 8 | |||
| 17 | ID | Char | 9 | $9. | $8. | |
| 2 | INFANT_ID | Char | 9 | |||
| 4 | INFANT_YEAR_BIRTH | Num | 8 | |||
| 8 | MOM_DISEASE_STATUS_HCV | Num | 8 | |||
| 9 | MOM_EVENT_DATE_HCV | Num | 8 | |||
| 1 | MOM_ID | Char | 9 | |||
| 5 | MONTH_BIRTH | Num | 3 | 3. | 3. | |
| 14 | MOUD_AT_DELIVERY | Num | 8 | |||
| 13 | MOUD_DURING_PREG | Num | 8 | |||
| 72 | RNA_TEST_DATE_1 | Num | 8 | |||
| 73 | RNA_TEST_DATE_2 | Num | 8 | |||
| 74 | RNA_TEST_DATE_3 | Num | 8 | |||
| 75 | RNA_TEST_DATE_4 | Num | 8 | |||
| 76 | RNA_TEST_DATE_5 | Num | 8 | |||
| 77 | RNA_TEST_DATE_6 | Num | 8 | |||
| 78 | RNA_TEST_DATE_7 | Num | 8 | |||
| 79 | RNA_TEST_DATE_8 | Num | 8 | |||
| 80 | RNA_TEST_DATE_9 | Num | 8 | |||
| 81 | RNA_TEST_DATE_10 | Num | 8 | |||
| 82 | RNA_TEST_DATE_11 | Num | 8 | |||
| 83 | RNA_TEST_DATE_12 | Num | 8 | |||
| 84 | RNA_TEST_DATE_13 | Num | 8 | |||
| 85 | RNA_TEST_DATE_14 | Num | 8 | |||
| 86 | RNA_TEST_DATE_15 | Num | 8 | |||
| 87 | RNA_TEST_DATE_16 | Num | 8 | |||
| 88 | RNA_TEST_DATE_17 | Num | 8 | |||
| 89 | RNA_TEST_DATE_18 | Num | 8 | |||
| 90 | RNA_TEST_DATE_19 | Num | 8 | |||
| 91 | RNA_TEST_DATE_20 | Num | 8 | |||
| 92 | RNA_TEST_DATE_21 | Num | 8 | |||
| 93 | RNA_TEST_DATE_22 | Num | 8 | |||
| 94 | RNA_TEST_DATE_23 | Num | 8 | |||
| 95 | RNA_TEST_DATE_24 | Num | 8 | |||
| 96 | RNA_TEST_DATE_25 | Num | 8 | |||
| 97 | RNA_TEST_DATE_26 | Num | 8 | |||
| 98 | RNA_TEST_DATE_27 | Num | 8 | |||
| 99 | RNA_TEST_DATE_28 | Num | 8 | |||
| 100 | RNA_TEST_DATE_29 | Num | 8 | |||
| 101 | RNA_TEST_DATE_30 | Num | 8 | |||
| 102 | RNA_TEST_DATE_31 | Num | 8 | |||
| 103 | RNA_TEST_DATE_32 | Num | 8 | |||
| 104 | RNA_TEST_DATE_33 | Num | 8 | |||
| 105 | RNA_TEST_DATE_34 | Num | 8 | |||
| 106 | RNA_TEST_DATE_35 | Num | 8 | |||
| 107 | RNA_TEST_DATE_36 | Num | 8 | |||
| 108 | RNA_TEST_DATE_37 | Num | 8 | |||
| 109 | RNA_TEST_DATE_38 | Num | 8 | |||
| 110 | RNA_TEST_DATE_39 | Num | 8 | |||
| 111 | RNA_TEST_DATE_40 | Num | 8 | |||
| 112 | RNA_TEST_DATE_41 | Num | 8 | |||
| 113 | RNA_TEST_DATE_42 | Num | 8 | |||
| 114 | RNA_TEST_DATE_43 | Num | 8 | |||
| 115 | RNA_TEST_DATE_44 | Num | 8 | |||
| 116 | RNA_TEST_DATE_45 | Num | 8 | |||
| 117 | RNA_TEST_DATE_46 | Num | 8 | |||
| 118 | RNA_TEST_DATE_47 | Num | 8 | |||
| 119 | RNA_TEST_DATE_48 | Num | 8 | |||
| 120 | RNA_TEST_DATE_49 | Num | 8 | |||
| 121 | RNA_TEST_DATE_50 | Num | 8 | |||
| 122 | RNA_TEST_DATE_51 | Num | 8 | |||
| 123 | RNA_TEST_DATE_52 | Num | 8 | |||
| 124 | RNA_TEST_DATE_53 | Num | 8 | |||
| 125 | RNA_TEST_DATE_54 | Num | 8 | |||
| 126 | RNA_TEST_DATE_55 | Num | 8 | |||
| 127 | RNA_TEST_DATE_56 | Num | 8 | |||
| 128 | RNA_TEST_DATE_57 | Num | 8 | |||
| 153 | RNA_TEST_INDICATOR | Num | 8 | |||
| 15 | apcd_anyclaim | Num | 8 | |||
| 10 | final_re | Num | 8 | 3. | 3. | Combined race ethnicity of patient |
| 11 | final_sex | Num | 8 | 3. | 3. | SEX_DIA |
| 157 | num_ab_tests | Num | 8 | |||
| 156 | num_rna_tests | Num | 8 | |||
| 16 | self_funded | Num | 8 | |||
The FREQ Procedure
| INFANT_YEAR_BIRTH | Count | Cumulative Frequency |
|---|---|---|
| 2014 | 509 | 509 |
| 2015 | 613 | 1122 |
| 2016 | 704 | 1826 |
| 2017 | 732 | 2558 |
| 2018 | 714 | 3272 |
| 2019 | 702 | 3974 |
| 2020 | 700 | 4674 |
| 2021 | 611 | 5285 |
| 2022 | 537 | 5822 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2060 | 2060 |
| 1 | 1759 | 3819 |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2242 | 2242 |
| 1 | 1577 | 3819 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 3762 | 3762 |
| 0 | 17 | 3779 |
| 1 | 40 | 3819 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 3814 | 3814 |
| 1 | * | 3819 |
The FREQ Procedure
| APPROPRIATE_AB_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 2242 | 2242 |
| 1 | 745 | 2987 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 2979 | 2979 |
| 0 | * | 2985 |
| 1 | * | 2987 |
The FREQ Procedure
| APPROPRIATE_AB_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 501 | 501 |
| 1 | 331 | 832 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 783 | 783 |
| 0 | 11 | 794 |
| 1 | 38 | 832 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 260 | 260 |
| 1 | 80 | 340 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 93 | 93 |
| 1 | 38 | 131 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 337 | 337 |
| 1 | 91 | 428 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 97 | 97 |
| 1 | 50 | 147 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 376 | 376 |
| 1 | 94 | 470 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 138 | 138 |
| 1 | 70 | 208 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 402 | 402 |
| 1 | 96 | 498 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 148 | 148 |
| 1 | 70 | 218 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 412 | 412 |
| 1 | 74 | 486 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 140 | 140 |
| 1 | 61 | 201 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 455 | 455 |
| 1 | 66 | 521 |
The FREQ Procedure
| APPROPRIATE_RNA_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 129 | 129 |
| 1 | 42 | 171 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 36 | 37 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 13 | 13 |
| 1 | 24 | 37 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 30 | 37 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 33 | 33 |
| 1 | * | 37 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 34 | 34 |
| 1 | * | 37 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 34 | 34 |
| 1 | * | 37 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 29 | 29 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 19 | 29 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 24 | 29 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 25 | 25 |
| 1 | * | 29 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 26 | 26 |
| 1 | * | 29 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 26 | 26 |
| 1 | * | 29 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 13 | 13 |
| 1 | 42 | 55 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 50 | 50 |
| 1 | * | 55 |
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 52 | 52 |
| 1 | * | 55 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 52 | 52 |
| 1 | * | 55 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White | 3978 | 3978 |
| Black | 371 | 4349 |
| Asian/PI | 79 | 4428 |
| Hispanic | 714 | 5142 |
| AmerInd/OtherNonHisp. | 114 | 5256 |
| Unknown | 29 | 5285 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1523 | 1523 |
| 1 | 1368 | 2891 |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1661 | 1661 |
| 1 | 1230 | 2891 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 2844 | 2844 |
| 0 | 13 | 2857 |
| 1 | 34 | 2891 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 151 | 151 |
| 1 | 119 | 270 |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 162 | 162 |
| 1 | 108 | 270 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 268 | 268 |
| 0 | * | 269 |
| 1 | * | 270 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 49 | 49 |
| 1 | * | 57 |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 49 | 49 |
| 1 | * | 57 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 57 | 57 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 282 | 282 |
| 1 | 232 | 514 |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 311 | 311 |
| 1 | 203 | 514 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 508 | 508 |
| 0 | * | 511 |
| 1 | * | 514 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 46 | 46 |
| 1 | 31 | 77 |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | 50 | 50 |
| 1 | 27 | 77 |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | 75 | 75 |
| 1 | * | 77 |
The FREQ Procedure
| ANY_HCV_TESTING_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
| APPROPRIATE_Testing | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| . | * | * |
The FREQ Procedure
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | 31 | 31 |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | 26 | 31 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 12 | 12 |
| 1 | 19 | 31 |
The FREQ Procedure
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
The FREQ Procedure
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
The FREQ Procedure
| CONFIRMED_HCV_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
The FREQ Procedure
| INFANT_YEAR_BIRTH | Count | Cumulative Frequency |
|---|---|---|
| 2014 | 471 | 471 |
| 2015 | 575 | 1046 |
| 2016 | 678 | 1724 |
| 2017 | 716 | 2440 |
| 2018 | 687 | 3127 |
| 2019 | 692 | 3819 |
| 2020 | 677 | 4496 |
| 2021 | 576 | 5072 |
| 2022 | 135 | 5207 |
| AGE_AT_FIRST_AB_TEST | Count | Cumulative Frequency |
|---|---|---|
| . | 3647 | 3647 |
| -17 | * | 3648 |
| 0 | * | 3655 |
| 1 | 73 | 3728 |
| 2 | 78 | 3806 |
| 3 | 25 | 3831 |
| 4 | 34 | 3865 |
| 5 | 12 | 3877 |
| 6 | 41 | 3918 |
| 7 | 27 | 3945 |
| 8 | 27 | 3972 |
| 9 | 57 | 4029 |
| 10 | 21 | 4050 |
| 11 | 11 | 4061 |
| 12 | 71 | 4132 |
| 13 | 25 | 4157 |
| 14 | 15 | 4172 |
| 15 | 49 | 4221 |
| 16 | 35 | 4256 |
| 17 | 28 | 4284 |
| 18 | 283 | 4567 |
| 19 | 113 | 4680 |
| 20 | 64 | 4744 |
| 21 | 33 | 4777 |
| 22 | 36 | 4813 |
| 23 | 17 | 4830 |
| 24 | 106 | 4936 |
| 25 | 54 | 4990 |
| 26 | 24 | 5014 |
| 27 | 18 | 5032 |
| 28 | 16 | 5048 |
| 29 | 14 | 5062 |
| 30 | 16 | 5078 |
| 31 | 12 | 5090 |
| 32 | * | 5100 |
| 33 | * | 5105 |
| 34 | * | 5110 |
| 35 | * | 5115 |
| 36 | 12 | 5127 |
| 37 | 14 | 5141 |
| 38 | * | 5150 |
| 39 | * | 5156 |
| 40 | * | 5160 |
| 41 | * | 5162 |
| 42 | * | 5166 |
| 43 | * | 5169 |
| 44 | * | 5170 |
| 45 | * | 5173 |
| 47 | * | 5174 |
| 48 | * | 5177 |
| 49 | * | 5178 |
| 50 | * | 5180 |
| 51 | * | 5181 |
| 52 | * | 5182 |
| 53 | * | 5184 |
| 54 | * | 5188 |
| 58 | * | 5189 |
| 59 | * | 5190 |
| 60 | * | 5191 |
| 61 | * | 5193 |
| 62 | * | 5195 |
| 64 | * | 5198 |
| 65 | * | 5200 |
| 67 | * | 5201 |
| 68 | * | 5203 |
| 70 | * | 5204 |
| 71 | * | 5205 |
| 72 | * | 5206 |
| 74 | * | 5207 |
| AGE_YRS_AT_FIRST_AB_TEST | Count | Cumulative Frequency |
|---|---|---|
| . | 5078 | 5078 |
| 2 | 37 | 5115 |
| 3 | 59 | 5174 |
| 4 | 16 | 5190 |
| 5 | 15 | 5205 |
| 6 | * | 5207 |
| AGE_AT_FIRST_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| . | 4187 | 4187 |
| -16 | * | 4188 |
| 0 | 16 | 4204 |
| 1 | 138 | 4342 |
| 2 | 185 | 4527 |
| 3 | 59 | 4586 |
| 4 | 81 | 4667 |
| 5 | 31 | 4698 |
| 6 | 50 | 4748 |
| 7 | 29 | 4777 |
| 8 | 30 | 4807 |
| 9 | 77 | 4884 |
| 10 | 30 | 4914 |
| 11 | * | 4921 |
| 12 | 42 | 4963 |
| 13 | 26 | 4989 |
| 14 | 12 | 5001 |
| 15 | * | 5011 |
| 16 | 18 | 5029 |
| 17 | * | 5033 |
| 18 | 54 | 5087 |
| 19 | 34 | 5121 |
| 20 | 13 | 5134 |
| 21 | * | 5142 |
| 22 | * | 5148 |
| 23 | * | 5151 |
| 24 | 15 | 5166 |
| 25 | * | 5173 |
| 26 | * | 5174 |
| 27 | * | 5176 |
| 28 | * | 5177 |
| 29 | * | 5183 |
| 30 | * | 5187 |
| 31 | * | 5189 |
| 32 | * | 5192 |
| 35 | * | 5194 |
| 36 | * | 5196 |
| 37 | * | 5199 |
| 40 | * | 5200 |
| 41 | * | 5201 |
| 42 | * | 5203 |
| 43 | * | 5204 |
| 48 | * | 5205 |
| 61 | * | 5206 |
| 64 | * | 5207 |
| AGE_YRS_AT_FIRST_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| . | 5087 | 5087 |
| 1 | 64 | 5151 |
| 2 | 43 | 5194 |
| 3 | * | 5204 |
| 4 | * | 5205 |
| 5 | * | 5207 |
| AGE_AT_FIRST_TEST | Count | Cumulative Frequency |
|---|---|---|
| . | 3287 | 3287 |
| -17 | * | 3288 |
| -16 | * | 3289 |
| 0 | 18 | 3307 |
| 1 | 146 | 3453 |
| 2 | 195 | 3648 |
| 3 | 60 | 3708 |
| 4 | 86 | 3794 |
| 5 | 31 | 3825 |
| 6 | 63 | 3888 |
| 7 | 34 | 3922 |
| 8 | 31 | 3953 |
| 9 | 92 | 4045 |
| 10 | 33 | 4078 |
| 11 | 14 | 4092 |
| 12 | 80 | 4172 |
| 13 | 34 | 4206 |
| 14 | 19 | 4225 |
| 15 | 44 | 4269 |
| 16 | 39 | 4308 |
| 17 | 24 | 4332 |
| 18 | 270 | 4602 |
| 19 | 109 | 4711 |
| 20 | 61 | 4772 |
| 21 | 32 | 4804 |
| 22 | 37 | 4841 |
| 23 | 16 | 4857 |
| 24 | 96 | 4953 |
| 25 | 51 | 5004 |
| 26 | 20 | 5024 |
| 27 | 17 | 5041 |
| 28 | 17 | 5058 |
| 29 | 15 | 5073 |
| 30 | 15 | 5088 |
| 31 | 11 | 5099 |
| 32 | * | 5105 |
| 33 | * | 5110 |
| 34 | * | 5115 |
| 35 | * | 5120 |
| 36 | 13 | 5133 |
| 37 | 12 | 5145 |
| 38 | * | 5153 |
| 39 | * | 5157 |
| 40 | * | 5160 |
| 41 | * | 5163 |
| 42 | * | 5167 |
| 43 | * | 5171 |
| 44 | * | 5172 |
| 45 | * | 5174 |
| 47 | * | 5175 |
| 48 | * | 5179 |
| 49 | * | 5180 |
| 50 | * | 5182 |
| 51 | * | 5183 |
| 52 | * | 5184 |
| 53 | * | 5186 |
| 54 | * | 5190 |
| 58 | * | 5191 |
| 59 | * | 5192 |
| 60 | * | 5193 |
| 61 | * | 5194 |
| 62 | * | 5196 |
| 64 | * | 5199 |
| 65 | * | 5201 |
| 67 | * | 5202 |
| 68 | * | 5204 |
| 70 | * | 5205 |
| 71 | * | 5206 |
| 72 | * | 5207 |
| AGE_YRS_AT_FIRST_TEST | Count | Cumulative Frequency |
|---|---|---|
| . | 5088 | 5088 |
| 2 | 32 | 5120 |
| 3 | 55 | 5175 |
| 4 | 17 | 5192 |
| 5 | 14 | 5206 |
| 6 | * | 5207 |
The FREQ Procedure
| year_birth | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 70555 | 70555 |
| 2012 | 70011 | 140566 |
| 2013 | 69257 | 209823 |
| 2014 | 69301 | 279124 |
| 2015 | 68545 | 347669 |
| 2016 | 62640 | 410309 |
| 2017 | 61078 | 471387 |
| 2018 | 57580 | 528967 |
| 2019 | 54474 | 583441 |
| 2020 | 52273 | 635714 |
| 2021 | 53379 | 689093 |
| 2022 | 54153 | 743246 |
The FREQ Procedure
| INFANT_YEAR_BIRTH | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 14 | 14 |
| 2012 | 71 | 85 |
| 2013 | 144 | 229 |
| 2014 | 211 | 440 |
| 2015 | 238 | 678 |
| 2016 | 302 | 980 |
| 2017 | 314 | 1294 |
| 2018 | 275 | 1569 |
| 2019 | 237 | 1806 |
| 2020 | 113 | 1919 |
| 2021 | 21 | 1940 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 261 | 261 |
| 2 | 116 | 377 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 335 | 335 |
| 1 | 42 | 377 |
| FIRST_DAA_START_YEAR | Count | Cumulative Frequency |
|---|---|---|
| . | 335 | 335 |
| 2014 | * | 336 |
| 2016 | * | 337 |
| 2017 | * | 341 |
| 2018 | * | 343 |
| 2019 | * | 345 |
| 2020 | 17 | 362 |
| 2021 | 15 | 377 |
The FREQ Procedure
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 335 | 335 |
| 1 | * | 345 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | 96 | 96 |
| 1 | 165 | 261 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 58 | 58 |
| 1 | 203 | 261 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 146 | 146 |
| 1 | 115 | 261 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 219 | 219 |
| 1 | 42 | 261 |
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 34 | 34 |
| 2012 | 26 | 60 |
| 2013 | 24 | 84 |
| 2014 | 24 | 108 |
| 2015 | 31 | 139 |
| 2016 | 33 | 172 |
| 2017 | 28 | 200 |
| 2018 | 19 | 219 |
| 2019 | 16 | 235 |
| 2020 | 13 | 248 |
| 2021 | 13 | 261 |
| AGE_HCV | Count | Cumulative Frequency |
|---|---|---|
| 0 | 92 | 92 |
| 1 | 56 | 148 |
| 2 | 13 | 161 |
| 3 | 21 | 182 |
| 4 | * | 183 |
| 5 | * | 187 |
| 6 | * | 195 |
| 7 | * | 199 |
| 8 | * | 203 |
| 9 | * | 208 |
| 10 | * | 212 |
| 11 | * | 218 |
| 12 | * | 224 |
| 13 | * | 234 |
| 14 | * | 244 |
| 15 | 17 | 261 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | 91 | 91 |
| 1 | 156 | 247 |
| RNA_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 56 | 56 |
| 1 | 191 | 247 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 140 | 140 |
| 1 | 107 | 247 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 205 | 205 |
| 1 | 42 | 247 |
| EVENT_YEAR_HCV | Count | Cumulative Frequency |
|---|---|---|
| 2011 | 34 | 34 |
| 2012 | 26 | 60 |
| 2013 | 24 | 84 |
| 2014 | 24 | 108 |
| 2015 | 31 | 139 |
| 2016 | 33 | 172 |
| 2017 | 28 | 200 |
| 2018 | 19 | 219 |
| 2019 | 15 | 234 |
| 2020 | * | 242 |
| 2021 | * | 247 |
| AGE_HCV | Count | Cumulative Frequency |
|---|---|---|
| 0 | 84 | 84 |
| 1 | 50 | 134 |
| 2 | 13 | 147 |
| 3 | 21 | 168 |
| 4 | * | 169 |
| 5 | * | 173 |
| 6 | * | 181 |
| 7 | * | 185 |
| 8 | * | 189 |
| 9 | * | 194 |
| 10 | * | 198 |
| 11 | * | 204 |
| 12 | * | 210 |
| 13 | * | 220 |
| 14 | * | 230 |
| 15 | 17 | 247 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 30 | 30 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 49 | 49 |
The FREQ Procedure
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 11 | 11 |
| 1 | 31 | 42 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 16 | 16 |
| 1 | 26 | 42 |
| AGE_DAA_START_group | Count | Cumulative Frequency |
|---|---|---|
| 3-5yo | 20 | 20 |
| 6-11yo | * | 30 |
| 12-17yo | * | 38 |
| adult | * | 42 |
The FREQ Procedure
| EOT_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 11 | 11 |
| 1 | 31 | 42 |
| SVR12_RNA_TEST | Count | Cumulative Frequency |
|---|---|---|
| 0 | 16 | 16 |
| 1 | 26 | 42 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 179 | 179 |
| 2 | 67 | 246 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 15 | 15 |
| 2 | 13 | 28 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| 2 | * | * |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 44 | 44 |
| 2 | 19 | 63 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | 14 | 14 |
| 2 | * | 20 |
The FREQ Procedure
| DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| 1 | * | * |
| 2 | * | * |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | 58 | 58 |
| 1 | 121 | 179 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 99 | 99 |
| 1 | 80 | 179 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 149 | 149 |
| 1 | 30 | 179 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | * | * |
| 1 | * | 15 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 11 | 11 |
| 1 | * | 15 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 11 | 11 |
| 1 | * | 15 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | * | * |
| 1 | * | * |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | * |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | 17 | 17 |
| 1 | 27 | 44 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 20 | 20 |
| 1 | 24 | 44 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 37 | 37 |
| 1 | * | 44 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | * | * |
| 1 | * | 14 |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| 1 | * | 14 |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | 14 | 14 |
The FREQ Procedure
| HCV_PRIMARY_DIAG | Count | Cumulative Frequency |
|---|---|---|
| . | * | * |
| GENO_TEST_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
| DAA_START_INDICATOR | Count | Cumulative Frequency |
|---|---|---|
| 0 | * | * |
The FREQ Procedure
| EVER_IDU_HCV | Count | Cumulative Frequency |
|---|---|---|
| . | 178 | 178 |
| 0 | 159 | 337 |
| 1 | 11 | 348 |
| 9 | 29 | 377 |
| Number_of_Unique_IDs |
|---|
| 3819 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 317 | 317 |
| 1 | 2728 | 3045 |
| MATINF_HEPC | Count | Cumulative Frequency |
|---|---|---|
| 0 | 1149 | 1149 |
| 1 | 1896 | 3045 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 429 | 429 |
| 1 | 345 | 774 |
| MATINF_HEPC | Count | Cumulative Frequency |
|---|---|---|
| 0 | 524 | 524 |
| 1 | 250 | 774 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 601 | 601 |
| 1 | 1072 | 1673 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| 0 | 145 | 145 |
| 1 | 2001 | 2146 |
The MEANS Procedure
| Analysis Variable : AGE_BIRTH | ||||
|---|---|---|---|---|
| N | Mean | Std Dev | Minimum | Maximum |
| 3818 | 28.9015191 | 4.8435024 | 16.0000000 | 51.0000000 |
The MEANS Procedure
| Analysis Variable : AGE_BIRTH | ||||
|---|---|---|---|---|
| N | Mean | Std Dev | Minimum | Maximum |
| 2241 | 29.1722445 | 5.0019422 | 16.0000000 | 51.0000000 |
| Analysis Variable : AGE_BIRTH | ||||
|---|---|---|---|---|
| N | Mean | Std Dev | Minimum | Maximum |
| 1577 | 28.5168041 | 4.5831160 | 16.0000000 | 45.0000000 |
| Obs | mean_cnt_deliveries | median_cnt_deliveries | range_cnt_deliveries |
|---|---|---|---|
| 1 | 1.1875 | 1 | 3 |
| Number_of_Unique_IDs |
|---|
| 3216 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| MOMS_FINAL_RE | Count | Cumulative Frequency |
| White Non-Hispanic | 2723 | 2723 |
| Black non-Hispanic | 179 | 2902 |
| Asian/PI non-Hispanic | 42 | 2944 |
| Hispanic | 245 | 3189 |
| American Indian or Other non-Hispanic | 27 | 3216 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 2994 | 2994 |
| Yes | 220 | 3214 |
| Missing in dataset | * | 3216 |
The FREQ Procedure
| OUD_CAPTURE | Count | Cumulative Frequency |
|---|---|---|
| No | 1301 | 1301 |
| Yes | 1915 | 3216 |
The FREQ Procedure
| SEX_DIA | ||
|---|---|---|
| final_sex | Count | Cumulative Frequency |
| Male | 1959 | 1959 |
| Female | 1860 | 3819 |
The FREQ Procedure
| GESTATIONAL_AGE_CAT | Count | Cumulative Frequency |
|---|---|---|
| Preterm | 593 | 593 |
| Term | 3221 | 3814 |
| Unknown | * | 3819 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White Non-Hispanic | 2891 | 2891 |
| Black non-Hispanic | 270 | 3161 |
| Asian/PI non-Hispanic | 57 | 3218 |
| Hispanic | 514 | 3732 |
| American Indian or Other non-Hispanic | 77 | 3809 |
| Missing | * | 3819 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| MOMS_FINAL_RE | Count | Cumulative Frequency |
| White Non-Hispanic | 3239 | 3239 |
| Black non-Hispanic | 207 | 3446 |
| Asian/PI non-Hispanic | 53 | 3499 |
| Hispanic | 291 | 3790 |
| American Indian or Other non-Hispanic | 29 | 3819 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 3564 | 3564 |
| Yes | 253 | 3817 |
| Missing in dataset | * | 3819 |
The FREQ Procedure
| OUD_CAPTURE | Count | Cumulative Frequency |
|---|---|---|
| No | 1584 | 1584 |
| Yes | 2235 | 3819 |
The FREQ Procedure
| FACILITY_ID_BIRTH | Count | Cumulative Frequency |
|---|---|---|
| 0000 | 26 | 26 |
| 0070 | * | 33 |
| 0080 | 54 | 87 |
| 2006 | 52 | 139 |
| 2007 | 119 | 258 |
| 2010 | 189 | 447 |
| 2014 | 59 | 506 |
| 2018 | 28 | 534 |
| 2020 | 56 | 590 |
| 2022 | 34 | 624 |
| 2036 | 54 | 678 |
| 2040 | 144 | 822 |
| 2042 | * | 823 |
| 2044 | * | 830 |
| 2052 | * | 834 |
| 2058 | 64 | 898 |
| 2069 | 100 | 998 |
| 2071 | 29 | 1027 |
| 2075 | 35 | 1062 |
| 2082 | 74 | 1136 |
| 2085 | 60 | 1196 |
| 2094 | 54 | 1250 |
| 2099 | 61 | 1311 |
| 2100 | 34 | 1345 |
| 2105 | 52 | 1397 |
| 2106 | 52 | 1449 |
| 2107 | 216 | 1665 |
| 2108 | 33 | 1698 |
| 2114 | 15 | 1713 |
| 2118 | 109 | 1822 |
| 2120 | 42 | 1864 |
| 2124 | 247 | 2111 |
| 2127 | 62 | 2173 |
| 2128 | 90 | 2263 |
| 2135 | 144 | 2407 |
| 2143 | * | 2410 |
| 2145 | 30 | 2440 |
| 2149 | 45 | 2485 |
| 2155 | 30 | 2515 |
| 2168 | 116 | 2631 |
| 2225 | 36 | 2667 |
| 2289 | 84 | 2751 |
| 2299 | 79 | 2830 |
| 2307 | 277 | 3107 |
| 2311 | 89 | 3196 |
| 2313 | 96 | 3292 |
| 2337 | 182 | 3474 |
| 2339 | 217 | 3691 |
| 2341 | 126 | 3817 |
| 3001 | * | 3818 |
| 3006 | * | 3819 |
The FREQ Procedure
| MED_PROV_COUNTY | Count | Cumulative Frequency |
|---|---|---|
| 627 | 627 | |
| BARNSTABLE | 187 | 814 |
| BERKSHIRE | 99 | 913 |
| BRISTOL | 394 | 1307 |
| DUKES | * | 1312 |
| ESSEX | 279 | 1591 |
| FRANKLIN | 16 | 1607 |
| HAMPDEN | 248 | 1855 |
| HAMPSHIRE | 39 | 1894 |
| MIDDLESEX | 516 | 2410 |
| Missing/Unknown/Invalid | 96 | 2506 |
| NANTUCKET | * | 2510 |
| NORFOLK | 183 | 2693 |
| PLYMOUTH | 315 | 3008 |
| SUFFOLK | 353 | 3361 |
| WORCESTER | 458 | 3819 |
The FREQ Procedure
| MED_PROV_ZIP | Count | Cumulative Frequency |
|---|---|---|
| 627 | 627 | |
| 01001 | * | 637 |
| 01002 | * | 639 |
| 01005 | * | 642 |
| 01010 | * | 644 |
| 01020 | 35 | 679 |
| 01028 | 13 | 692 |
| 01040 | 29 | 721 |
| 01041 | * | 722 |
| 01050 | * | 723 |
| 01056 | * | 732 |
| 01060 | 30 | 762 |
| 01069 | * | 764 |
| 01075 | * | 766 |
| 01082 | * | 770 |
| 01085 | 21 | 791 |
| 01089 | * | 799 |
| 01095 | 13 | 812 |
| 01103 | * | 818 |
| 01104 | * | 825 |
| 01105 | * | 830 |
| 01106 | * | 838 |
| 01107 | 11 | 849 |
| 01108 | * | 854 |
| 01109 | * | 858 |
| 01118 | 19 | 877 |
| 01199 | 40 | 917 |
| 01201 | 65 | 982 |
| 01202 | * | 983 |
| 01230 | * | 989 |
| 01247 | 27 | 1016 |
| 01301 | 15 | 1031 |
| 01331 | * | 1041 |
| 01373 | * | 1042 |
| 01420 | 18 | 1060 |
| 01440 | 49 | 1109 |
| 01450 | * | 1110 |
| 01453 | 50 | 1160 |
| 01462 | * | 1161 |
| 01463 | * | 1162 |
| 01501 | 27 | 1189 |
| 01507 | * | 1191 |
| 01519 | * | 1193 |
| 01520 | * | 1196 |
| 01527 | * | 1197 |
| 01532 | * | 1198 |
| 01545 | * | 1204 |
| 01550 | 16 | 1220 |
| 01562 | * | 1222 |
| 01569 | 19 | 1241 |
| 01570 | * | 1242 |
| 01581 | * | 1243 |
| 01585 | * | 1244 |
| 01602 | * | 1254 |
| 01604 | 41 | 1295 |
| 01605 | 83 | 1378 |
| 01606 | 16 | 1394 |
| 01608 | 22 | 1416 |
| 01610 | * | 1422 |
| 01613 | * | 1423 |
| 01655 | 25 | 1448 |
| 01701 | 25 | 1473 |
| 01702 | 13 | 1486 |
| 01720 | * | 1489 |
| 01742 | 13 | 1502 |
| 01746 | * | 1509 |
| 01748 | 11 | 1520 |
| 01752 | 99 | 1619 |
| 01757 | 32 | 1651 |
| 01760 | * | 1652 |
| 01772 | * | 1661 |
| 01776 | * | 1662 |
| 01778 | * | 1664 |
| 01801 | 20 | 1684 |
| 01803 | 12 | 1696 |
| 01805 | * | 1701 |
| 01810 | * | 1702 |
| 01821 | * | 1703 |
| 01824 | 19 | 1722 |
| 01826 | * | 1732 |
| 01830 | 33 | 1765 |
| 01833 | * | 1766 |
| 01840 | * | 1767 |
| 01841 | * | 1776 |
| 01842 | * | 1777 |
| 01844 | 17 | 1794 |
| 01845 | * | 1802 |
| 01852 | 49 | 1851 |
| 01853 | * | 1857 |
| 01854 | 11 | 1868 |
| 01862 | * | 1872 |
| 01863 | * | 1882 |
| 01864 | * | 1885 |
| 01867 | 13 | 1898 |
| 01876 | * | 1899 |
| 01880 | * | 1904 |
| 01886 | 16 | 1920 |
| 01887 | 13 | 1933 |
| 01888 | * | 1935 |
| 01890 | * | 1942 |
| 01901 | 13 | 1955 |
| 01907 | * | 1958 |
| 01915 | 30 | 1988 |
| 01923 | * | 1995 |
| 01930 | 15 | 2010 |
| 01938 | * | 2011 |
| 01940 | * | 2012 |
| 01944 | * | 2013 |
| 01945 | * | 2016 |
| 01949 | * | 2018 |
| 01950 | 41 | 2059 |
| 01960 | 69 | 2128 |
| 01970 | 21 | 2149 |
| 01982 | * | 2150 |
| 02021 | * | 2151 |
| 02025 | * | 2154 |
| 02026 | * | 2156 |
| 02035 | 12 | 2168 |
| 02038 | * | 2171 |
| 02048 | * | 2172 |
| 02050 | * | 2173 |
| 02061 | 19 | 2192 |
| 02062 | * | 2202 |
| 02067 | * | 2203 |
| 02072 | * | 2210 |
| 02081 | * | 2217 |
| 02090 | 12 | 2229 |
| 02111 | 17 | 2246 |
| 02113 | * | 2249 |
| 02114 | 50 | 2299 |
| 02115 | 49 | 2348 |
| 02116 | * | 2358 |
| 02118 | 81 | 2439 |
| 02119 | * | 2448 |
| 02120 | * | 2449 |
| 02121 | * | 2450 |
| 02122 | * | 2458 |
| 02124 | * | 2467 |
| 02126 | * | 2474 |
| 02127 | 13 | 2487 |
| 02128 | 11 | 2498 |
| 02129 | * | 2500 |
| 02130 | 16 | 2516 |
| 02131 | * | 2518 |
| 02132 | * | 2521 |
| 02135 | * | 2528 |
| 02136 | * | 2531 |
| 02138 | * | 2534 |
| 02139 | 35 | 2569 |
| 02144 | * | 2573 |
| 02148 | * | 2581 |
| 02149 | 11 | 2592 |
| 02150 | * | 2597 |
| 02151 | 14 | 2611 |
| 02155 | 17 | 2628 |
| 02169 | 49 | 2677 |
| 02171 | * | 2684 |
| 02176 | * | 2691 |
| 02180 | * | 2698 |
| 02184 | 20 | 2718 |
| 02186 | * | 2721 |
| 02189 | 21 | 2742 |
| 02190 | * | 2750 |
| 02205 | * | 2753 |
| 02211 | * | 2755 |
| 02215 | * | 2760 |
| 02241 | 18 | 2778 |
| 02284 | * | 2779 |
| 02301 | 23 | 2802 |
| 02302 | 68 | 2870 |
| 02324 | 18 | 2888 |
| 02332 | * | 2889 |
| 02341 | * | 2892 |
| 02347 | 24 | 2916 |
| 02351 | * | 2922 |
| 02356 | * | 2929 |
| 02359 | * | 2930 |
| 02360 | 57 | 2987 |
| 02364 | 11 | 2998 |
| 02368 | * | 3001 |
| 02370 | * | 3002 |
| 02379 | 37 | 3039 |
| 02420 | * | 3041 |
| 02421 | * | 3044 |
| 02445 | * | 3047 |
| 02446 | * | 3049 |
| 02451 | * | 3050 |
| 02452 | * | 3054 |
| 02453 | * | 3059 |
| 02459 | * | 3065 |
| 02462 | * | 3073 |
| 02467 | * | 3074 |
| 02472 | * | 3075 |
| 02476 | * | 3076 |
| 02481 | * | 3081 |
| 02492 | * | 3083 |
| 02493 | * | 3088 |
| 02494 | * | 3089 |
| 02532 | * | 3090 |
| 02539 | * | 3091 |
| 02540 | 41 | 3132 |
| 02541 | * | 3133 |
| 02554 | * | 3137 |
| 02557 | * | 3141 |
| 02563 | 17 | 3158 |
| 02571 | 61 | 3219 |
| 02601 | 43 | 3262 |
| 02644 | 18 | 3280 |
| 02645 | * | 3284 |
| 02649 | * | 3285 |
| 02653 | * | 3286 |
| 02657 | * | 3287 |
| 02664 | 40 | 3327 |
| 02673 | * | 3335 |
| 02675 | 11 | 3346 |
| 02703 | 35 | 3381 |
| 02719 | 22 | 3403 |
| 02720 | 64 | 3467 |
| 02721 | 40 | 3507 |
| 02722 | * | 3508 |
| 02723 | 14 | 3522 |
| 02738 | * | 3526 |
| 02740 | 65 | 3591 |
| 02745 | * | 3592 |
| 02747 | 59 | 3651 |
| 02760 | * | 3652 |
| 02762 | * | 3653 |
| 02764 | * | 3655 |
| 02767 | * | 3658 |
| 02777 | 16 | 3674 |
| 02780 | 42 | 3716 |
| 02790 | * | 3717 |
| 02842 | * | 3718 |
| 03061 | * | 3719 |
| 03079 | * | 3721 |
| 04243 | * | 3722 |
| 04915 | 12 | 3734 |
| 04938 | * | 3735 |
| 92675 | * | 3736 |
| 99999 | 83 | 3819 |
The FREQ Procedure
| county | Count | Cumulative Frequency |
|---|---|---|
| BARNSTABLE | 261 | 261 |
| BERKSHIRE | 114 | 375 |
| BRISTOL | 562 | 937 |
| DUKES | * | 940 |
| ESSEX | 434 | 1374 |
| FRANKLIN | 50 | 1424 |
| HAMPDEN | 245 | 1669 |
| HAMPSHIRE | 66 | 1735 |
| MIDDLESEX | 590 | 2325 |
| NANTUCKET | * | 2333 |
| NORFOLK | 294 | 2627 |
| PLYMOUTH | 419 | 3046 |
| SUFFOLK | 285 | 3331 |
| WORCESTER | 488 | 3819 |
The FREQ Procedure
| WELL_CHILD | Count | Cumulative Frequency |
|---|---|---|
| No | 627 | 627 |
| Yes | 3192 | 3819 |
The FREQ Procedure
| NAS_BC_TOTAL | Count | Cumulative Frequency |
|---|---|---|
| No | 2822 | 2822 |
| Yes | 509 | 3331 |
| Unknown | 488 | 3819 |
The FREQ Procedure
| DISCH_WITH_MOM | Count | Cumulative Frequency |
|---|---|---|
| No | 1278 | 1278 |
| Yes | 2473 | 3751 |
| Unknown | 68 | 3819 |
The FREQ Procedure
| INF_VAC_HBIG | Count | Cumulative Frequency |
|---|---|---|
| No | 3800 | 3800 |
| Yes | 19 | 3819 |
The FREQ Procedure
| HIV_DIAGNOSIS | Count | Cumulative Frequency |
|---|---|---|
| No | 3806 | 3806 |
| Yes | 13 | 3819 |
The FREQ Procedure
| MOUD_DURING_PREG | Count | Cumulative Frequency |
|---|---|---|
| No | 1834 | 1834 |
| Yes | 1985 | 3819 |
The FREQ Procedure
| MOUD_AT_DELIVERY | Count | Cumulative Frequency |
|---|---|---|
| No | 2071 | 2071 |
| Yes | 1748 | 3819 |
The FREQ Procedure
| AGE_BIRTH_GROUP | Count | Cumulative Frequency |
|---|---|---|
| 19-25 | 975 | 975 |
| 26-35 | 2444 | 3419 |
| <=18 | 18 | 3437 |
| >35 | 381 | 3818 |
| Unknown | * | 3819 |
The FREQ Procedure
| EVER_INCARCERATED | Count | Cumulative Frequency |
|---|---|---|
| No | 2423 | 2423 |
| Yes | 1396 | 3819 |
The FREQ Procedure
| Homeless_History | Count | Cumulative Frequency |
|---|---|---|
| No | 2444 | 2444 |
| Yes | 149 | 2593 |
| Unknown | 1226 | 3819 |
The FREQ Procedure
| MOMS_HOMELESS_HISTORY | Count | Cumulative Frequency |
|---|---|---|
| No | 1873 | 1873 |
| Yes | 1946 | 3819 |
The FREQ Procedure
| LANGUAGE_SPOKEN_GROUP | Count | Cumulative Frequency |
|---|---|---|
| English | 3655 | 3655 |
| Other | 44 | 3699 |
| Refused or Unknown | 61 | 3760 |
| Spanish | 59 | 3819 |
The FREQ Procedure
| MOTHER_EDU_GROUP | Count | Cumulative Frequency |
|---|---|---|
| Associate or Bachelor | 414 | 414 |
| HS or GED | 1309 | 1723 |
| No HS | 653 | 2376 |
| Other or Unknown | 1333 | 3709 |
| Post graduate | 110 | 3819 |
The FREQ Procedure
| LD_PAY | Count | Cumulative Frequency |
|---|---|---|
| Public | 2963 | 2963 |
| Private | 825 | 3788 |
| Unknown | 31 | 3819 |
The FREQ Procedure
| S_KOTELCHUCK | ||
|---|---|---|
| KOTELCHUCK | Count | Cumulative Frequency |
| Missing/Unknown | 198 | 198 |
| Inadequate | 986 | 1184 |
| Intermediate | 411 | 1595 |
| Adequate | 1071 | 2666 |
| Intensive | 1153 | 3819 |
The FREQ Procedure
| PRENAT_SITE | Count | Cumulative Frequency |
|---|---|---|
| Private Physicians Office | 2437 | 2437 |
| Community Health Center | 276 | 2713 |
| HMO | 99 | 2812 |
| Hospital Clinic | 806 | 3618 |
| Other | 41 | 3659 |
| Unknown | 160 | 3819 |
The FREQ Procedure
| MATINF_HEPC | Count | Cumulative Frequency |
|---|---|---|
| No | 1673 | 1673 |
| Yes | 2146 | 3819 |
The FREQ Procedure
| MOM_DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| Confirmed | 3045 | 3045 |
| Probable | 774 | 3819 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 746 | 746 |
| Yes | 3073 | 3819 |
The FREQ Procedure
| MATINF_HEPB | Count | Cumulative Frequency |
|---|---|---|
| No | 3778 | 3778 |
| Yes | 41 | 3819 |
The FREQ Procedure
| EVER_IDU_HCV_MAT | Count | Cumulative Frequency |
|---|---|---|
| . | 815 | 815 |
| No | 97 | 912 |
| Yes | 1752 | 2664 |
| Unknown | 1155 | 3819 |
The FREQ Procedure
| MENTAL_HEALTH_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 566 | 566 |
| Yes | 3253 | 3819 |
The FREQ Procedure
| OTHER_SUBSTANCE_USE | Count | Cumulative Frequency |
|---|---|---|
| No | 1074 | 1074 |
| Yes | 2745 | 3819 |
The FREQ Procedure
| IJI_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 2794 | 2794 |
| Yes | 1025 | 3819 |
The FREQ Procedure
| SEX_DIA | ||
|---|---|---|
| final_sex | Count | Cumulative Frequency |
| Male | 108 | 108 |
| Female | 139 | 247 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White Non-Hispanic | 169 | 169 |
| Black non-Hispanic | 15 | 184 |
| Asian/PI non-Hispanic | * | 190 |
| Hispanic | 41 | 231 |
| American Indian or Other non-Hispanic | 13 | 244 |
| Missing | * | 247 |
The FREQ Procedure
| LANGUAGE | Count | Cumulative Frequency |
|---|---|---|
| Not Provided |Unknown/missing | * | * |
| English Only | 158 | 159 |
| English and Another Language | 16 | 175 |
| Another Language | * | 184 |
| 9 | 63 | 247 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 122 | 122 |
| Yes | * | 130 |
| Missing in dataset | 117 | 247 |
The FREQ Procedure
| SEX_DIA | ||
|---|---|---|
| final_sex | Count | Cumulative Frequency |
| Male | 1162 | 1162 |
| Female | 1080 | 2242 |
The FREQ Procedure
| SEX_DIA | ||
|---|---|---|
| final_sex | Count | Cumulative Frequency |
| Male | 797 | 797 |
| Female | 780 | 1577 |
The FREQ Procedure
| GESTATIONAL_AGE_CAT | Count | Cumulative Frequency |
|---|---|---|
| Preterm | 340 | 340 |
| Term | 1898 | 2238 |
| Unknown | * | 2242 |
The FREQ Procedure
| GESTATIONAL_AGE_CAT | Count | Cumulative Frequency |
|---|---|---|
| Preterm | 253 | 253 |
| Term | 1323 | 1576 |
| Unknown | * | 1577 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White Non-Hispanic | 1661 | 1661 |
| Black non-Hispanic | 162 | 1823 |
| Asian/PI non-Hispanic | 49 | 1872 |
| Hispanic | 311 | 2183 |
| American Indian or Other non-Hispanic | 50 | 2233 |
| Missing | * | 2242 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White Non-Hispanic | 1230 | 1230 |
| Black non-Hispanic | 108 | 1338 |
| Asian/PI non-Hispanic | * | 1346 |
| Hispanic | 203 | 1549 |
| American Indian or Other non-Hispanic | 27 | 1576 |
| Missing | * | 1577 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| MOMS_FINAL_RE | Count | Cumulative Frequency |
| White Non-Hispanic | 1852 | 1852 |
| Black non-Hispanic | 138 | 1990 |
| Asian/PI non-Hispanic | 44 | 2034 |
| Hispanic | 189 | 2223 |
| American Indian or Other non-Hispanic | 19 | 2242 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| MOMS_FINAL_RE | Count | Cumulative Frequency |
| White Non-Hispanic | 1387 | 1387 |
| Black non-Hispanic | 69 | 1456 |
| Asian/PI non-Hispanic | * | 1465 |
| Hispanic | 102 | 1567 |
| American Indian or Other non-Hispanic | * | 1577 |
The FREQ Procedure
| FACILITY_ID_BIRTH | Count | Cumulative Frequency |
|---|---|---|
| 0000 | 17 | 17 |
| 0070 | * | 21 |
| 0080 | 32 | 53 |
| 2006 | 36 | 89 |
| 2007 | 80 | 169 |
| 2010 | 114 | 283 |
| 2014 | 43 | 326 |
| 2018 | 11 | 337 |
| 2020 | 27 | 364 |
| 2022 | 12 | 376 |
| 2036 | 38 | 414 |
| 2040 | 89 | 503 |
| 2042 | * | 504 |
| 2044 | * | 510 |
| 2052 | * | 513 |
| 2058 | 34 | 547 |
| 2069 | 59 | 606 |
| 2071 | 16 | 622 |
| 2075 | 23 | 645 |
| 2082 | 41 | 686 |
| 2085 | 34 | 720 |
| 2094 | 36 | 756 |
| 2099 | 34 | 790 |
| 2100 | 18 | 808 |
| 2105 | 31 | 839 |
| 2106 | 27 | 866 |
| 2107 | 138 | 1004 |
| 2108 | 21 | 1025 |
| 2114 | * | 1035 |
| 2118 | 55 | 1090 |
| 2120 | 26 | 1116 |
| 2124 | 154 | 1270 |
| 2127 | 40 | 1310 |
| 2128 | 59 | 1369 |
| 2135 | 88 | 1457 |
| 2143 | * | 1459 |
| 2145 | 24 | 1483 |
| 2149 | 24 | 1507 |
| 2155 | 12 | 1519 |
| 2168 | 80 | 1599 |
| 2225 | 20 | 1619 |
| 2289 | 45 | 1664 |
| 2299 | 40 | 1704 |
| 2307 | 91 | 1795 |
| 2311 | 51 | 1846 |
| 2313 | 68 | 1914 |
| 2337 | 100 | 2014 |
| 2339 | 140 | 2154 |
| 2341 | 86 | 2240 |
| 3001 | * | 2241 |
| 3006 | * | 2242 |
The FREQ Procedure
| FACILITY_ID_BIRTH | Count | Cumulative Frequency |
|---|---|---|
| 0000 | * | * |
| 0070 | * | 12 |
| 0080 | 22 | 34 |
| 2006 | 16 | 50 |
| 2007 | 39 | 89 |
| 2010 | 75 | 164 |
| 2014 | 16 | 180 |
| 2018 | 17 | 197 |
| 2020 | 29 | 226 |
| 2022 | 22 | 248 |
| 2036 | 16 | 264 |
| 2040 | 55 | 319 |
| 2044 | * | 320 |
| 2052 | * | 321 |
| 2058 | 30 | 351 |
| 2069 | 41 | 392 |
| 2071 | 13 | 405 |
| 2075 | 12 | 417 |
| 2082 | 33 | 450 |
| 2085 | 26 | 476 |
| 2094 | 18 | 494 |
| 2099 | 27 | 521 |
| 2100 | 16 | 537 |
| 2105 | 21 | 558 |
| 2106 | 25 | 583 |
| 2107 | 78 | 661 |
| 2108 | 12 | 673 |
| 2114 | * | 678 |
| 2118 | 54 | 732 |
| 2120 | 16 | 748 |
| 2124 | 93 | 841 |
| 2127 | 22 | 863 |
| 2128 | 31 | 894 |
| 2135 | 56 | 950 |
| 2143 | * | 951 |
| 2145 | * | 957 |
| 2149 | 21 | 978 |
| 2155 | 18 | 996 |
| 2168 | 36 | 1032 |
| 2225 | 16 | 1048 |
| 2289 | 39 | 1087 |
| 2299 | 39 | 1126 |
| 2307 | 186 | 1312 |
| 2311 | 38 | 1350 |
| 2313 | 28 | 1378 |
| 2337 | 82 | 1460 |
| 2339 | 77 | 1537 |
| 2341 | 40 | 1577 |
The FREQ Procedure
| MED_PROV_COUNTY | Count | Cumulative Frequency |
|---|---|---|
| 562 | 562 | |
| BARNSTABLE | 100 | 662 |
| BERKSHIRE | 66 | 728 |
| BRISTOL | 227 | 955 |
| DUKES | * | 958 |
| ESSEX | 147 | 1105 |
| FRANKLIN | 12 | 1117 |
| HAMPDEN | 144 | 1261 |
| HAMPSHIRE | 16 | 1277 |
| MIDDLESEX | 242 | 1519 |
| Missing/Unknown/Invalid | 65 | 1584 |
| NANTUCKET | * | 1587 |
| NORFOLK | 101 | 1688 |
| PLYMOUTH | 161 | 1849 |
| SUFFOLK | 147 | 1996 |
| WORCESTER | 246 | 2242 |
The FREQ Procedure
| MED_PROV_COUNTY | Count | Cumulative Frequency |
|---|---|---|
| 65 | 65 | |
| BARNSTABLE | 87 | 152 |
| BERKSHIRE | 33 | 185 |
| BRISTOL | 167 | 352 |
| DUKES | * | 354 |
| ESSEX | 132 | 486 |
| FRANKLIN | * | 490 |
| HAMPDEN | 104 | 594 |
| HAMPSHIRE | 23 | 617 |
| MIDDLESEX | 274 | 891 |
| Missing/Unknown/Invalid | 31 | 922 |
| NANTUCKET | * | 923 |
| NORFOLK | 82 | 1005 |
| PLYMOUTH | 154 | 1159 |
| SUFFOLK | 206 | 1365 |
| WORCESTER | 212 | 1577 |
The FREQ Procedure
| MED_PROV_ZIP | Count | Cumulative Frequency |
|---|---|---|
| 562 | 562 | |
| 01001 | * | 565 |
| 01002 | * | 567 |
| 01005 | * | 568 |
| 01020 | 16 | 584 |
| 01028 | * | 592 |
| 01040 | 22 | 614 |
| 01041 | * | 615 |
| 01056 | * | 620 |
| 01060 | * | 630 |
| 01069 | * | 632 |
| 01075 | * | 633 |
| 01082 | * | 636 |
| 01085 | 12 | 648 |
| 01089 | * | 653 |
| 01095 | * | 659 |
| 01103 | * | 663 |
| 01104 | * | 665 |
| 01105 | * | 669 |
| 01106 | * | 673 |
| 01107 | * | 679 |
| 01108 | * | 683 |
| 01109 | * | 684 |
| 01118 | 15 | 699 |
| 01199 | 24 | 723 |
| 01201 | 45 | 768 |
| 01230 | * | 771 |
| 01247 | 18 | 789 |
| 01301 | 11 | 800 |
| 01331 | * | 806 |
| 01373 | * | 807 |
| 01420 | * | 817 |
| 01440 | 34 | 851 |
| 01453 | 29 | 880 |
| 01463 | * | 881 |
| 01501 | 14 | 895 |
| 01507 | * | 897 |
| 01519 | * | 899 |
| 01520 | * | 902 |
| 01527 | * | 903 |
| 01545 | * | 908 |
| 01550 | 14 | 922 |
| 01569 | * | 930 |
| 01581 | * | 931 |
| 01585 | * | 932 |
| 01602 | * | 939 |
| 01604 | 11 | 950 |
| 01605 | 41 | 991 |
| 01606 | * | 996 |
| 01608 | 11 | 1007 |
| 01610 | * | 1012 |
| 01613 | * | 1013 |
| 01655 | 11 | 1024 |
| 01701 | * | 1033 |
| 01702 | * | 1038 |
| 01742 | * | 1042 |
| 01746 | * | 1046 |
| 01748 | * | 1053 |
| 01752 | 25 | 1078 |
| 01757 | 17 | 1095 |
| 01760 | * | 1096 |
| 01772 | * | 1102 |
| 01776 | * | 1103 |
| 01778 | * | 1105 |
| 01801 | * | 1114 |
| 01803 | * | 1120 |
| 01805 | * | 1122 |
| 01810 | * | 1123 |
| 01821 | * | 1124 |
| 01824 | * | 1132 |
| 01826 | * | 1136 |
| 01830 | 19 | 1155 |
| 01833 | * | 1156 |
| 01841 | * | 1161 |
| 01842 | * | 1162 |
| 01844 | * | 1167 |
| 01845 | * | 1169 |
| 01852 | 33 | 1202 |
| 01853 | * | 1203 |
| 01854 | * | 1207 |
| 01862 | * | 1209 |
| 01863 | * | 1214 |
| 01864 | * | 1217 |
| 01867 | * | 1225 |
| 01876 | * | 1226 |
| 01880 | * | 1228 |
| 01886 | * | 1236 |
| 01887 | * | 1243 |
| 01890 | * | 1248 |
| 01901 | * | 1254 |
| 01915 | 17 | 1271 |
| 01923 | * | 1278 |
| 01930 | * | 1286 |
| 01940 | * | 1287 |
| 01944 | * | 1288 |
| 01945 | * | 1290 |
| 01949 | * | 1291 |
| 01950 | 21 | 1312 |
| 01960 | 38 | 1350 |
| 01970 | * | 1360 |
| 01982 | * | 1361 |
| 02025 | * | 1364 |
| 02035 | * | 1370 |
| 02038 | * | 1372 |
| 02050 | * | 1373 |
| 02061 | 17 | 1390 |
| 02062 | * | 1395 |
| 02067 | * | 1396 |
| 02072 | * | 1401 |
| 02081 | * | 1407 |
| 02090 | * | 1415 |
| 02111 | * | 1421 |
| 02113 | * | 1422 |
| 02114 | 24 | 1446 |
| 02115 | 29 | 1475 |
| 02116 | * | 1478 |
| 02118 | 16 | 1494 |
| 02119 | * | 1496 |
| 02120 | * | 1497 |
| 02122 | * | 1501 |
| 02124 | * | 1507 |
| 02126 | * | 1510 |
| 02127 | * | 1511 |
| 02128 | * | 1517 |
| 02130 | 12 | 1529 |
| 02132 | * | 1531 |
| 02135 | * | 1533 |
| 02136 | * | 1535 |
| 02138 | * | 1536 |
| 02139 | 20 | 1556 |
| 02144 | * | 1559 |
| 02148 | * | 1561 |
| 02149 | * | 1568 |
| 02150 | * | 1569 |
| 02151 | * | 1579 |
| 02155 | * | 1587 |
| 02169 | 25 | 1612 |
| 02171 | * | 1614 |
| 02176 | * | 1620 |
| 02180 | * | 1624 |
| 02184 | * | 1634 |
| 02186 | * | 1635 |
| 02189 | 13 | 1648 |
| 02190 | * | 1651 |
| 02205 | * | 1652 |
| 02211 | * | 1653 |
| 02215 | * | 1656 |
| 02241 | * | 1665 |
| 02301 | 15 | 1680 |
| 02302 | 32 | 1712 |
| 02324 | * | 1720 |
| 02341 | * | 1723 |
| 02347 | * | 1733 |
| 02351 | * | 1736 |
| 02356 | * | 1737 |
| 02359 | * | 1738 |
| 02360 | 38 | 1776 |
| 02364 | * | 1781 |
| 02368 | * | 1782 |
| 02379 | 16 | 1798 |
| 02420 | * | 1799 |
| 02421 | * | 1801 |
| 02445 | * | 1804 |
| 02446 | * | 1805 |
| 02451 | * | 1806 |
| 02452 | * | 1807 |
| 02453 | * | 1809 |
| 02459 | * | 1815 |
| 02462 | * | 1819 |
| 02467 | * | 1820 |
| 02481 | * | 1822 |
| 02492 | * | 1824 |
| 02493 | * | 1826 |
| 02494 | * | 1827 |
| 02539 | * | 1828 |
| 02540 | 24 | 1852 |
| 02554 | * | 1855 |
| 02557 | * | 1857 |
| 02563 | * | 1867 |
| 02571 | 17 | 1884 |
| 02601 | 22 | 1906 |
| 02644 | * | 1914 |
| 02645 | * | 1918 |
| 02653 | * | 1919 |
| 02664 | 18 | 1937 |
| 02673 | * | 1941 |
| 02675 | * | 1950 |
| 02703 | 19 | 1969 |
| 02719 | 14 | 1983 |
| 02720 | 35 | 2018 |
| 02721 | 23 | 2041 |
| 02722 | * | 2042 |
| 02723 | * | 2050 |
| 02738 | * | 2053 |
| 02740 | 38 | 2091 |
| 02745 | * | 2092 |
| 02747 | 40 | 2132 |
| 02760 | * | 2133 |
| 02762 | * | 2134 |
| 02764 | * | 2135 |
| 02767 | * | 2137 |
| 02777 | 12 | 2149 |
| 02780 | 22 | 2171 |
| 02790 | * | 2172 |
| 03061 | * | 2173 |
| 03079 | * | 2174 |
| 04243 | * | 2175 |
| 04915 | * | 2181 |
| 04938 | * | 2182 |
| 99999 | 60 | 2242 |
The FREQ Procedure
| MED_PROV_ZIP | Count | Cumulative Frequency |
|---|---|---|
| 65 | 65 | |
| 01001 | * | 72 |
| 01005 | * | 74 |
| 01010 | * | 76 |
| 01020 | 19 | 95 |
| 01028 | * | 100 |
| 01040 | * | 107 |
| 01050 | * | 108 |
| 01056 | * | 112 |
| 01060 | 20 | 132 |
| 01075 | * | 133 |
| 01082 | * | 134 |
| 01085 | * | 143 |
| 01089 | * | 146 |
| 01095 | * | 153 |
| 01103 | * | 155 |
| 01104 | * | 160 |
| 01105 | * | 161 |
| 01106 | * | 165 |
| 01107 | * | 170 |
| 01108 | * | 171 |
| 01109 | * | 174 |
| 01118 | * | 178 |
| 01199 | 16 | 194 |
| 01201 | 20 | 214 |
| 01202 | * | 215 |
| 01230 | * | 218 |
| 01247 | * | 227 |
| 01301 | * | 231 |
| 01331 | * | 235 |
| 01420 | * | 243 |
| 01440 | 15 | 258 |
| 01450 | * | 259 |
| 01453 | 21 | 280 |
| 01462 | * | 281 |
| 01501 | 13 | 294 |
| 01532 | * | 295 |
| 01545 | * | 296 |
| 01550 | * | 298 |
| 01562 | * | 300 |
| 01569 | 11 | 311 |
| 01570 | * | 312 |
| 01602 | * | 315 |
| 01604 | 30 | 345 |
| 01605 | 42 | 387 |
| 01606 | 11 | 398 |
| 01608 | 11 | 409 |
| 01610 | * | 410 |
| 01655 | 14 | 424 |
| 01701 | 16 | 440 |
| 01702 | * | 448 |
| 01720 | * | 451 |
| 01742 | * | 460 |
| 01746 | * | 463 |
| 01748 | * | 467 |
| 01752 | 74 | 541 |
| 01757 | 15 | 556 |
| 01772 | * | 559 |
| 01801 | 11 | 570 |
| 01803 | * | 576 |
| 01805 | * | 579 |
| 01824 | 11 | 590 |
| 01826 | * | 596 |
| 01830 | 14 | 610 |
| 01840 | * | 611 |
| 01841 | * | 615 |
| 01844 | 12 | 627 |
| 01845 | * | 633 |
| 01852 | 16 | 649 |
| 01853 | * | 654 |
| 01854 | * | 661 |
| 01862 | * | 663 |
| 01863 | * | 668 |
| 01867 | * | 673 |
| 01880 | * | 676 |
| 01886 | * | 684 |
| 01887 | * | 690 |
| 01888 | * | 692 |
| 01890 | * | 694 |
| 01901 | * | 701 |
| 01907 | * | 704 |
| 01915 | 13 | 717 |
| 01930 | * | 724 |
| 01938 | * | 725 |
| 01945 | * | 726 |
| 01949 | * | 727 |
| 01950 | 20 | 747 |
| 01960 | 31 | 778 |
| 01970 | 11 | 789 |
| 02021 | * | 790 |
| 02026 | * | 792 |
| 02035 | * | 798 |
| 02038 | * | 799 |
| 02048 | * | 800 |
| 02061 | * | 802 |
| 02062 | * | 807 |
| 02072 | * | 809 |
| 02081 | * | 810 |
| 02090 | * | 814 |
| 02111 | 11 | 825 |
| 02113 | * | 827 |
| 02114 | 26 | 853 |
| 02115 | 20 | 873 |
| 02116 | * | 880 |
| 02118 | 65 | 945 |
| 02119 | * | 952 |
| 02121 | * | 953 |
| 02122 | * | 957 |
| 02124 | * | 960 |
| 02126 | * | 964 |
| 02127 | 12 | 976 |
| 02128 | * | 981 |
| 02129 | * | 983 |
| 02130 | * | 987 |
| 02131 | * | 989 |
| 02132 | * | 990 |
| 02135 | * | 995 |
| 02136 | * | 996 |
| 02138 | * | 998 |
| 02139 | 15 | 1013 |
| 02144 | * | 1014 |
| 02148 | * | 1020 |
| 02149 | * | 1024 |
| 02150 | * | 1028 |
| 02151 | * | 1032 |
| 02155 | * | 1041 |
| 02169 | 24 | 1065 |
| 02171 | * | 1070 |
| 02176 | * | 1071 |
| 02180 | * | 1074 |
| 02184 | * | 1084 |
| 02186 | * | 1086 |
| 02189 | * | 1094 |
| 02190 | * | 1099 |
| 02205 | * | 1101 |
| 02211 | * | 1102 |
| 02215 | * | 1104 |
| 02241 | * | 1113 |
| 02284 | * | 1114 |
| 02301 | * | 1122 |
| 02302 | 36 | 1158 |
| 02324 | * | 1168 |
| 02332 | * | 1169 |
| 02347 | 14 | 1183 |
| 02351 | * | 1186 |
| 02356 | * | 1192 |
| 02360 | 19 | 1211 |
| 02364 | * | 1217 |
| 02368 | * | 1219 |
| 02370 | * | 1220 |
| 02379 | 21 | 1241 |
| 02420 | * | 1242 |
| 02421 | * | 1243 |
| 02446 | * | 1244 |
| 02452 | * | 1247 |
| 02453 | * | 1250 |
| 02462 | * | 1254 |
| 02472 | * | 1255 |
| 02476 | * | 1256 |
| 02481 | * | 1259 |
| 02493 | * | 1262 |
| 02532 | * | 1263 |
| 02540 | 17 | 1280 |
| 02541 | * | 1281 |
| 02554 | * | 1282 |
| 02557 | * | 1284 |
| 02563 | * | 1291 |
| 02571 | 44 | 1335 |
| 02601 | 21 | 1356 |
| 02644 | * | 1366 |
| 02649 | * | 1367 |
| 02657 | * | 1368 |
| 02664 | 22 | 1390 |
| 02673 | * | 1394 |
| 02675 | * | 1396 |
| 02703 | 16 | 1412 |
| 02719 | * | 1420 |
| 02720 | 29 | 1449 |
| 02721 | 17 | 1466 |
| 02723 | * | 1472 |
| 02738 | * | 1473 |
| 02740 | 27 | 1500 |
| 02747 | 19 | 1519 |
| 02764 | * | 1520 |
| 02767 | * | 1521 |
| 02777 | * | 1525 |
| 02780 | 20 | 1545 |
| 02842 | * | 1546 |
| 03079 | * | 1547 |
| 04915 | * | 1553 |
| 92675 | * | 1554 |
| 99999 | 23 | 1577 |
The FREQ Procedure
| county | Count | Cumulative Frequency |
|---|---|---|
| BARNSTABLE | 149 | 149 |
| BERKSHIRE | 80 | 229 |
| BRISTOL | 315 | 544 |
| DUKES | * | 546 |
| ESSEX | 270 | 816 |
| FRANKLIN | 33 | 849 |
| HAMPDEN | 152 | 1001 |
| HAMPSHIRE | 43 | 1044 |
| MIDDLESEX | 341 | 1385 |
| NANTUCKET | * | 1392 |
| NORFOLK | 153 | 1545 |
| PLYMOUTH | 242 | 1787 |
| SUFFOLK | 147 | 1934 |
| WORCESTER | 308 | 2242 |
The FREQ Procedure
| county | Count | Cumulative Frequency |
|---|---|---|
| BARNSTABLE | 112 | 112 |
| BERKSHIRE | 34 | 146 |
| BRISTOL | 247 | 393 |
| DUKES | * | 394 |
| ESSEX | 164 | 558 |
| FRANKLIN | 17 | 575 |
| HAMPDEN | 93 | 668 |
| HAMPSHIRE | 23 | 691 |
| MIDDLESEX | 249 | 940 |
| NANTUCKET | * | 941 |
| NORFOLK | 141 | 1082 |
| PLYMOUTH | 177 | 1259 |
| SUFFOLK | 138 | 1397 |
| WORCESTER | 180 | 1577 |
The FREQ Procedure
| WELL_CHILD | Count | Cumulative Frequency |
|---|---|---|
| No | 562 | 562 |
| Yes | 1680 | 2242 |
The FREQ Procedure
| WELL_CHILD | Count | Cumulative Frequency |
|---|---|---|
| No | 65 | 65 |
| Yes | 1512 | 1577 |
The FREQ Procedure
| NAS_BC_TOTAL | Count | Cumulative Frequency |
|---|---|---|
| No | 1655 | 1655 |
| Yes | 264 | 1919 |
| Unknown | 323 | 2242 |
The FREQ Procedure
| NAS_BC_TOTAL | Count | Cumulative Frequency |
|---|---|---|
| No | 1167 | 1167 |
| Yes | 245 | 1412 |
| Unknown | 165 | 1577 |
The FREQ Procedure
| DISCH_WITH_MOM | Count | Cumulative Frequency |
|---|---|---|
| No | 702 | 702 |
| Yes | 1494 | 2196 |
| Unknown | 46 | 2242 |
The FREQ Procedure
| DISCH_WITH_MOM | Count | Cumulative Frequency |
|---|---|---|
| No | 576 | 576 |
| Yes | 979 | 1555 |
| Unknown | 22 | 1577 |
The FREQ Procedure
| INF_VAC_HBIG | Count | Cumulative Frequency |
|---|---|---|
| No | 2229 | 2229 |
| Yes | 13 | 2242 |
The FREQ Procedure
| INF_VAC_HBIG | Count | Cumulative Frequency |
|---|---|---|
| No | 1571 | 1571 |
| Yes | * | 1577 |
The FREQ Procedure
| HIV_DIAGNOSIS | Count | Cumulative Frequency |
|---|---|---|
| No | 2232 | 2232 |
| Yes | * | 2242 |
The FREQ Procedure
| HIV_DIAGNOSIS | Count | Cumulative Frequency |
|---|---|---|
| No | 1574 | 1574 |
| Yes | * | 1577 |
The FREQ Procedure
| MOUD_DURING_PREG | Count | Cumulative Frequency |
|---|---|---|
| No | 1237 | 1237 |
| Yes | 1005 | 2242 |
The FREQ Procedure
| MOUD_DURING_PREG | Count | Cumulative Frequency |
|---|---|---|
| No | 597 | 597 |
| Yes | 980 | 1577 |
The FREQ Procedure
| MOUD_AT_DELIVERY | Count | Cumulative Frequency |
|---|---|---|
| No | 1345 | 1345 |
| Yes | 897 | 2242 |
The FREQ Procedure
| MOUD_AT_DELIVERY | Count | Cumulative Frequency |
|---|---|---|
| No | 726 | 726 |
| Yes | 851 | 1577 |
The FREQ Procedure
| OUD_CAPTURE | Count | Cumulative Frequency |
|---|---|---|
| No | 1071 | 1071 |
| Yes | 1171 | 2242 |
The FREQ Procedure
| OUD_CAPTURE | Count | Cumulative Frequency |
|---|---|---|
| No | 513 | 513 |
| Yes | 1064 | 1577 |
The FREQ Procedure
| AGE_BIRTH_GROUP | Count | Cumulative Frequency |
|---|---|---|
| 19-25 | 546 | 546 |
| 26-35 | 1421 | 1967 |
| <=18 | 14 | 1981 |
| >35 | 260 | 2241 |
| Unknown | * | 2242 |
The FREQ Procedure
| AGE_BIRTH_GROUP | Count | Cumulative Frequency |
|---|---|---|
| 19-25 | 429 | 429 |
| 26-35 | 1023 | 1452 |
| <=18 | * | 1456 |
| >35 | 121 | 1577 |
The FREQ Procedure
| EVER_INCARCERATED | Count | Cumulative Frequency |
|---|---|---|
| No | 1495 | 1495 |
| Yes | 747 | 2242 |
The FREQ Procedure
| EVER_INCARCERATED | Count | Cumulative Frequency |
|---|---|---|
| No | 928 | 928 |
| Yes | 649 | 1577 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 2050 | 2050 |
| Yes | 190 | 2240 |
| Missing in dataset | * | 2242 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 1514 | 1514 |
| Yes | 63 | 1577 |
The FREQ Procedure
| Homeless_History | Count | Cumulative Frequency |
|---|---|---|
| No | 1266 | 1266 |
| Yes | 66 | 1332 |
| Unknown | 910 | 2242 |
The FREQ Procedure
| Homeless_History | Count | Cumulative Frequency |
|---|---|---|
| No | 1178 | 1178 |
| Yes | 83 | 1261 |
| Unknown | 316 | 1577 |
The FREQ Procedure
| MOMS_HOMELESS_HISTORY | Count | Cumulative Frequency |
|---|---|---|
| No | 1253 | 1253 |
| Yes | 989 | 2242 |
The FREQ Procedure
| MOMS_HOMELESS_HISTORY | Count | Cumulative Frequency |
|---|---|---|
| No | 620 | 620 |
| Yes | 957 | 1577 |
The FREQ Procedure
| LANGUAGE_SPOKEN_GROUP | Count | Cumulative Frequency |
|---|---|---|
| English | 2126 | 2126 |
| Other | 35 | 2161 |
| Refused or Unknown | 36 | 2197 |
| Spanish | 45 | 2242 |
The FREQ Procedure
| LANGUAGE_SPOKEN_GROUP | Count | Cumulative Frequency |
|---|---|---|
| English | 1529 | 1529 |
| Other | * | 1538 |
| Refused or Unknown | 25 | 1563 |
| Spanish | 14 | 1577 |
The FREQ Procedure
| MOTHER_EDU_GROUP | Count | Cumulative Frequency |
|---|---|---|
| Associate or Bachelor | 286 | 286 |
| HS or GED | 728 | 1014 |
| No HS | 375 | 1389 |
| Other or Unknown | 755 | 2144 |
| Post graduate | 98 | 2242 |
The FREQ Procedure
| MOTHER_EDU_GROUP | Count | Cumulative Frequency |
|---|---|---|
| Associate or Bachelor | 128 | 128 |
| HS or GED | 581 | 709 |
| No HS | 278 | 987 |
| Other or Unknown | 578 | 1565 |
| Post graduate | 12 | 1577 |
The FREQ Procedure
| LD_PAY | Count | Cumulative Frequency |
|---|---|---|
| Public | 1637 | 1637 |
| Private | 586 | 2223 |
| Unknown | 19 | 2242 |
The FREQ Procedure
| LD_PAY | Count | Cumulative Frequency |
|---|---|---|
| Public | 1326 | 1326 |
| Private | 239 | 1565 |
| Unknown | 12 | 1577 |
The FREQ Procedure
| S_KOTELCHUCK | ||
|---|---|---|
| KOTELCHUCK | Count | Cumulative Frequency |
| Missing/Unknown | 107 | 107 |
| Inadequate | 502 | 609 |
| Intermediate | 251 | 860 |
| Adequate | 672 | 1532 |
| Intensive | 710 | 2242 |
The FREQ Procedure
| S_KOTELCHUCK | ||
|---|---|---|
| KOTELCHUCK | Count | Cumulative Frequency |
| Missing/Unknown | 91 | 91 |
| Inadequate | 484 | 575 |
| Intermediate | 160 | 735 |
| Adequate | 399 | 1134 |
| Intensive | 443 | 1577 |
The FREQ Procedure
| PRENAT_SITE | Count | Cumulative Frequency |
|---|---|---|
| Private Physicians Office | 1484 | 1484 |
| Community Health Center | 149 | 1633 |
| HMO | 62 | 1695 |
| Hospital Clinic | 431 | 2126 |
| Other | 21 | 2147 |
| Unknown | 95 | 2242 |
The FREQ Procedure
| PRENAT_SITE | Count | Cumulative Frequency |
|---|---|---|
| Private Physicians Office | 953 | 953 |
| Community Health Center | 127 | 1080 |
| HMO | 37 | 1117 |
| Hospital Clinic | 375 | 1492 |
| Other | 20 | 1512 |
| Unknown | 65 | 1577 |
The FREQ Procedure
| MATINF_HEPC | Count | Cumulative Frequency |
|---|---|---|
| No | 1164 | 1164 |
| Yes | 1078 | 2242 |
The FREQ Procedure
| MATINF_HEPC | Count | Cumulative Frequency |
|---|---|---|
| No | 509 | 509 |
| Yes | 1068 | 1577 |
The FREQ Procedure
| MOM_DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| Confirmed | 1632 | 1632 |
| Probable | 610 | 2242 |
The FREQ Procedure
| MOM_DISEASE_STATUS_HCV | Count | Cumulative Frequency |
|---|---|---|
| Confirmed | 1413 | 1413 |
| Probable | 164 | 1577 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 649 | 649 |
| Yes | 1593 | 2242 |
The FREQ Procedure
| HCV_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 97 | 97 |
| Yes | 1480 | 1577 |
The FREQ Procedure
| MATINF_HEPB | Count | Cumulative Frequency |
|---|---|---|
| No | 2214 | 2214 |
| Yes | 28 | 2242 |
The FREQ Procedure
| MATINF_HEPB | Count | Cumulative Frequency |
|---|---|---|
| No | 1564 | 1564 |
| Yes | 13 | 1577 |
The FREQ Procedure
| EVER_IDU_HCV_MAT | Count | Cumulative Frequency |
|---|---|---|
| . | 671 | 671 |
| No | 57 | 728 |
| Yes | 868 | 1596 |
| Unknown | 646 | 2242 |
The FREQ Procedure
| EVER_IDU_HCV_MAT | Count | Cumulative Frequency |
|---|---|---|
| . | 144 | 144 |
| No | 40 | 184 |
| Yes | 884 | 1068 |
| Unknown | 509 | 1577 |
The FREQ Procedure
| MENTAL_HEALTH_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 415 | 415 |
| Yes | 1827 | 2242 |
The FREQ Procedure
| MENTAL_HEALTH_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 151 | 151 |
| Yes | 1426 | 1577 |
The FREQ Procedure
| OTHER_SUBSTANCE_USE | Count | Cumulative Frequency |
|---|---|---|
| No | 787 | 787 |
| Yes | 1455 | 2242 |
The FREQ Procedure
| OTHER_SUBSTANCE_USE | Count | Cumulative Frequency |
|---|---|---|
| No | 287 | 287 |
| Yes | 1290 | 1577 |
The FREQ Procedure
| IJI_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 1718 | 1718 |
| Yes | 524 | 2242 |
The FREQ Procedure
| IJI_DIAG | Count | Cumulative Frequency |
|---|---|---|
| No | 1076 | 1076 |
| Yes | 501 | 1577 |
The FREQ Procedure
| SEX_DIA | ||
|---|---|---|
| final_sex | Count | Cumulative Frequency |
| Male | 91 | 91 |
| Female | 114 | 205 |
The FREQ Procedure
| SEX_DIA | ||
|---|---|---|
| final_sex | Count | Cumulative Frequency |
| Male | 17 | 17 |
| Female | 25 | 42 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White Non-Hispanic | 139 | 139 |
| Black non-Hispanic | 11 | 150 |
| Asian/PI non-Hispanic | * | 155 |
| Hispanic | 34 | 189 |
| American Indian or Other non-Hispanic | 13 | 202 |
| Missing | * | 205 |
The FREQ Procedure
| Combined race ethnicity of patient | ||
|---|---|---|
| final_re | Count | Cumulative Frequency |
| White Non-Hispanic | 30 | 30 |
| Black non-Hispanic | * | 34 |
| Asian/PI non-Hispanic | * | 35 |
| Hispanic | * | 42 |
The FREQ Procedure
| LANGUAGE | Count | Cumulative Frequency |
|---|---|---|
| Not Provided |Unknown/missing | * | * |
| English Only | 126 | 127 |
| English and Another Language | 16 | 143 |
| Another Language | * | 150 |
| 9 | 55 | 205 |
The FREQ Procedure
| LANGUAGE | Count | Cumulative Frequency |
|---|---|---|
| English Only | 32 | 32 |
| Another Language | * | 34 |
| 9 | * | 42 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 102 | 102 |
| Yes | * | 109 |
| Missing in dataset | 96 | 205 |
The FREQ Procedure
| foreign_born | Count | Cumulative Frequency |
|---|---|---|
| No | 20 | 20 |
| Yes | * | 21 |
| Missing in dataset | 21 | 42 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| final_sex | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5181.253 |
| SC | 5186.117 | 5193.749 |
| -2 Log L | 5177.870 | 5177.253 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.6164 | 1 | 0.4324 |
| Score | 0.6164 | 1 | 0.4324 |
| Wald | 0.6164 | 1 | 0.4324 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_sex | 1 | 0.6164 | 0.4324 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3770 | 0.0460 | 67.1872 | <.0001 | |
| final_sex | 2 | 1 | 0.0516 | 0.0658 | 0.6164 | 0.4324 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_sex 2 vs 1 | 1.053 | 0.926 | 1.198 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 25.6 | Somers' D | 0.013 |
| Percent Discordant | 24.3 | Gamma | 0.026 |
| Percent Tied | 50.0 | Tau-a | 0.006 |
| Pairs | 3535634 | c | 0.506 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| GESTATIONAL_AGE_CAT | Preterm | 1 | 0 |
| Term | 0 | 0 | |
| Unknown | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5182.322 |
| SC | 5186.117 | 5201.065 |
| -2 Log L | 5177.870 | 5176.322 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.5481 | 2 | 0.4611 |
| Score | 1.4588 | 2 | 0.4822 |
| Wald | 1.3795 | 2 | 0.5017 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| GESTATIONAL_AGE_CAT | 2 | 1.3795 | 0.5017 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3609 | 0.0358 | 101.5398 | <.0001 | |
| GESTATIONAL_AGE_CAT | Preterm | 1 | 0.0653 | 0.0904 | 0.5222 | 0.4699 |
| GESTATIONAL_AGE_CAT | Unknown | 1 | -1.0254 | 1.1186 | 0.8403 | 0.3593 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| GESTATIONAL_AGE_CAT Preterm vs Term | 1.068 | 0.894 | 1.275 |
| GESTATIONAL_AGE_CAT Unknown vs Term | 0.359 | 0.040 | 3.212 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 13.8 | Somers' D | 0.010 |
| Percent Discordant | 12.8 | Gamma | 0.037 |
| Percent Tied | 73.5 | Tau-a | 0.005 |
| Pairs | 3535634 | c | 0.505 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| final_re | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5160.910 |
| SC | 5186.117 | 5198.396 |
| -2 Log L | 5177.870 | 5148.910 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 28.9602 | 5 | <.0001 |
| Score | 25.4856 | 5 | 0.0001 |
| Wald | 21.6364 | 5 | 0.0006 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_re | 5 | 21.6364 | 0.0006 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3004 | 0.0376 | 63.7739 | <.0001 | |
| final_re | 2 | 1 | -0.1051 | 0.1298 | 0.6552 | 0.4183 |
| final_re | 3 | 1 | -1.5115 | 0.3831 | 15.5661 | <.0001 |
| final_re | 4 | 1 | -0.1262 | 0.0978 | 1.6660 | 0.1968 |
| final_re | 5 | 1 | -0.3158 | 0.2418 | 1.7060 | 0.1915 |
| final_re | 9 | 1 | -1.8932 | 1.0532 | 3.2310 | 0.0723 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_re 2 vs 1 | 0.900 | 0.698 | 1.161 |
| final_re 3 vs 1 | 0.221 | 0.104 | 0.467 |
| final_re 4 vs 1 | 0.881 | 0.728 | 1.068 |
| final_re 5 vs 1 | 0.729 | 0.454 | 1.171 |
| final_re 9 vs 1 | 0.151 | 0.019 | 1.187 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 22.2 | Somers' D | 0.044 |
| Percent Discordant | 17.7 | Gamma | 0.111 |
| Percent Tied | 60.1 | Tau-a | 0.021 |
| Pairs | 3535634 | c | 0.522 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| MOMS_FINAL_RE | 1 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | |
| 5 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5159.391 |
| SC | 5186.117 | 5190.629 |
| -2 Log L | 5177.870 | 5149.391 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 28.4791 | 4 | <.0001 |
| Score | 26.6865 | 4 | <.0001 |
| Wald | 25.0452 | 4 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOMS_FINAL_RE | 4 | 25.0452 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2891 | 0.0355 | 66.2936 | <.0001 | |
| MOMS_FINAL_RE | 2 | 1 | -0.4040 | 0.1517 | 7.0972 | 0.0077 |
| MOMS_FINAL_RE | 3 | 1 | -1.2978 | 0.3675 | 12.4669 | 0.0004 |
| MOMS_FINAL_RE | 4 | 1 | -0.3277 | 0.1279 | 6.5637 | 0.0104 |
| MOMS_FINAL_RE | 5 | 1 | -0.3527 | 0.3923 | 0.8085 | 0.3686 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOMS_FINAL_RE 2 vs 1 | 0.668 | 0.496 | 0.899 |
| MOMS_FINAL_RE 3 vs 1 | 0.273 | 0.133 | 0.561 |
| MOMS_FINAL_RE 4 vs 1 | 0.721 | 0.561 | 0.926 |
| MOMS_FINAL_RE 5 vs 1 | 0.703 | 0.326 | 1.516 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 16.0 | Somers' D | 0.055 |
| Percent Discordant | 10.5 | Gamma | 0.208 |
| Percent Tied | 73.5 | Tau-a | 0.027 |
| Pairs | 3535634 | c | 0.528 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||||||||||
| county | BARNSTABLE | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| BERKSHIRE | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| BRISTOL | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| DUKES | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ESSEX | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| FRANKLIN | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| HAMPDEN | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| HAMPSHIRE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| MIDDLESEX | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| NANTUCKET | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| NORFOLK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
| PLYMOUTH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
| SUFFOLK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
| WORCESTER | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5173.102 |
| SC | 5186.117 | 5260.570 |
| -2 Log L | 5177.870 | 5145.102 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 32.7682 | 13 | 0.0018 |
| Score | 32.1002 | 13 | 0.0023 |
| Wald | 31.3330 | 13 | 0.0030 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| county | 13 | 31.3330 | 0.0030 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3144 | 0.0834 | 14.2282 | 0.0002 | |
| county | BARNSTABLE | 1 | 0.0290 | 0.1503 | 0.0372 | 0.8471 |
| county | BERKSHIRE | 1 | -0.5412 | 0.2210 | 5.9954 | 0.0143 |
| county | BRISTOL | 1 | 0.0712 | 0.1190 | 0.3582 | 0.5495 |
| county | DUKES | 1 | -0.3787 | 1.2276 | 0.0952 | 0.7577 |
| county | ESSEX | 1 | -0.1841 | 0.1294 | 2.0240 | 0.1548 |
| county | FRANKLIN | 1 | -0.3489 | 0.3100 | 1.2668 | 0.2604 |
| county | HAMPDEN | 1 | -0.1769 | 0.1558 | 1.2881 | 0.2564 |
| county | HAMPSHIRE | 1 | -0.3113 | 0.2714 | 1.3150 | 0.2515 |
| county | NANTUCKET | 1 | -1.6305 | 1.0719 | 2.3139 | 0.1282 |
| county | NORFOLK | 1 | 0.2328 | 0.1434 | 2.6327 | 0.1047 |
| county | PLYMOUTH | 1 | 0.00164 | 0.1293 | 0.0002 | 0.9899 |
| county | SUFFOLK | 1 | 0.2513 | 0.1449 | 3.0064 | 0.0829 |
| county | WORCESTER | 1 | -0.2227 | 0.1255 | 3.1491 | 0.0760 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| county BARNSTABLE vs MIDDLESEX | 1.029 | 0.767 | 1.382 |
| county BERKSHIRE vs MIDDLESEX | 0.582 | 0.377 | 0.898 |
| county BRISTOL vs MIDDLESEX | 1.074 | 0.850 | 1.356 |
| county DUKES vs MIDDLESEX | 0.685 | 0.062 | 7.593 |
| county ESSEX vs MIDDLESEX | 0.832 | 0.645 | 1.072 |
| county FRANKLIN vs MIDDLESEX | 0.705 | 0.384 | 1.295 |
| county HAMPDEN vs MIDDLESEX | 0.838 | 0.617 | 1.137 |
| county HAMPSHIRE vs MIDDLESEX | 0.733 | 0.430 | 1.247 |
| county NANTUCKET vs MIDDLESEX | 0.196 | 0.024 | 1.601 |
| county NORFOLK vs MIDDLESEX | 1.262 | 0.953 | 1.672 |
| county PLYMOUTH vs MIDDLESEX | 1.002 | 0.777 | 1.291 |
| county SUFFOLK vs MIDDLESEX | 1.286 | 0.968 | 1.708 |
| county WORCESTER vs MIDDLESEX | 0.800 | 0.626 | 1.024 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 49.6 | Somers' D | 0.100 |
| Percent Discordant | 39.6 | Gamma | 0.112 |
| Percent Tied | 10.8 | Tau-a | 0.048 |
| Pairs | 3535634 | c | 0.550 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| WELL_CHILD | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 4837.874 |
| SC | 5186.117 | 4850.369 |
| -2 Log L | 5177.870 | 4833.874 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 343.9958 | 1 | <.0001 |
| Score | 295.9741 | 1 | <.0001 |
| Wald | 228.5319 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| WELL_CHILD | 1 | 228.5319 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -2.1571 | 0.1310 | 271.0993 | <.0001 | |
| WELL_CHILD | 1 | 1 | 2.0518 | 0.1357 | 228.5319 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| WELL_CHILD 1 vs 0 | 7.782 | 5.964 | 10.153 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 24.0 | Somers' D | 0.209 |
| Percent Discordant | 3.1 | Gamma | 0.772 |
| Percent Tied | 72.9 | Tau-a | 0.102 |
| Pairs | 3535634 | c | 0.605 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| NAS_BC_TOTAL | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5162.645 |
| SC | 5186.117 | 5181.389 |
| -2 Log L | 5177.870 | 5156.645 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 21.2243 | 2 | <.0001 |
| Score | 21.0970 | 2 | <.0001 |
| Wald | 20.9332 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| NAS_BC_TOTAL | 2 | 20.9332 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3494 | 0.0382 | 83.5353 | <.0001 | |
| NAS_BC_TOTAL | 1 | 1 | 0.2747 | 0.0966 | 8.0858 | 0.0045 |
| NAS_BC_TOTAL | 9 | 1 | -0.3223 | 0.1030 | 9.7848 | 0.0018 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| NAS_BC_TOTAL 1 vs 0 | 1.316 | 1.089 | 1.590 |
| NAS_BC_TOTAL 9 vs 0 | 0.724 | 0.592 | 0.887 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 24.4 | Somers' D | 0.067 |
| Percent Discordant | 17.7 | Gamma | 0.159 |
| Percent Tied | 58.0 | Tau-a | 0.032 |
| Pairs | 3535634 | c | 0.533 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| INF_VAC_HBIG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5181.103 |
| SC | 5186.117 | 5193.599 |
| -2 Log L | 5177.870 | 5177.103 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.7665 | 1 | 0.3813 |
| Score | 0.7434 | 1 | 0.3886 |
| Wald | 0.7323 | 1 | 0.3922 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| INF_VAC_HBIG | 1 | 0.7323 | 0.3922 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3498 | 0.0329 | 112.7829 | <.0001 | |
| INF_VAC_HBIG | 1 | 1 | -0.4233 | 0.4946 | 0.7323 | 0.3922 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| INF_VAC_HBIG 1 vs 0 | 0.655 | 0.248 | 1.727 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.6 | Somers' D | 0.002 |
| Percent Discordant | 0.4 | Gamma | 0.209 |
| Percent Tied | 99.0 | Tau-a | 0.001 |
| Pairs | 3535634 | c | 0.501 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| HIV_DIAGNOSIS | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5179.950 |
| SC | 5186.117 | 5192.445 |
| -2 Log L | 5177.870 | 5175.950 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.9199 | 1 | 0.1659 |
| Score | 1.7856 | 1 | 0.1815 |
| Wald | 1.6738 | 1 | 0.1957 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| HIV_DIAGNOSIS | 1 | 1.6738 | 0.1957 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3493 | 0.0329 | 112.6088 | <.0001 | |
| HIV_DIAGNOSIS | 1 | 1 | -0.8521 | 0.6587 | 1.6738 | 0.1957 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| HIV_DIAGNOSIS 1 vs 0 | 0.427 | 0.117 | 1.551 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.4 | Somers' D | 0.003 |
| Percent Discordant | 0.2 | Gamma | 0.403 |
| Percent Tied | 99.4 | Tau-a | 0.001 |
| Pairs | 3535634 | c | 0.501 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| foreign_born | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 8 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5149.827 |
| SC | 5186.117 | 5168.570 |
| -2 Log L | 5177.870 | 5143.827 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 34.0429 | 2 | <.0001 |
| Score | 31.5213 | 2 | <.0001 |
| Wald | 28.7787 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| foreign_born | 2 | 28.7787 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3031 | 0.0339 | 79.9963 | <.0001 | |
| foreign_born | 1 | 1 | -0.8008 | 0.1493 | 28.7773 | <.0001 |
| foreign_born | 8 | 1 | -11.9447 | 322.9 | 0.0014 | 0.9705 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| foreign_born 1 vs 0 | 0.449 | 0.335 | 0.602 |
| foreign_born 8 vs 0 | <0.001 | <0.001 | >999.999 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 8.2 | Somers' D | 0.046 |
| Percent Discordant | 3.7 | Gamma | 0.385 |
| Percent Tied | 88.1 | Tau-a | 0.022 |
| Pairs | 3535634 | c | 0.523 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| Homeless_History | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 4994.878 |
| SC | 5186.117 | 5013.621 |
| -2 Log L | 5177.870 | 4988.878 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 188.9921 | 2 | <.0001 |
| Score | 182.6446 | 2 | <.0001 |
| Wald | 176.2466 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| Homeless_History | 2 | 176.2466 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.0720 | 0.0405 | 3.1672 | 0.0751 | |
| Homeless_History | 1 | 1 | 0.3012 | 0.1698 | 3.1465 | 0.0761 |
| Homeless_History | 9 | 1 | -0.9857 | 0.0768 | 164.6021 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| Homeless_History 1 vs 0 | 1.352 | 0.969 | 1.885 |
| Homeless_History 9 vs 0 | 0.373 | 0.321 | 0.434 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 35.4 | Somers' D | 0.213 |
| Percent Discordant | 14.1 | Gamma | 0.431 |
| Percent Tied | 50.5 | Tau-a | 0.103 |
| Pairs | 3535634 | c | 0.607 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOMS_HOMELESS_HISTORY | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5079.532 |
| SC | 5186.117 | 5092.028 |
| -2 Log L | 5177.870 | 5075.532 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 102.3375 | 1 | <.0001 |
| Score | 101.7442 | 1 | <.0001 |
| Wald | 100.6884 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOMS_HOMELESS_HISTOR | 1 | 100.6884 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.7035 | 0.0491 | 205.3019 | <.0001 | |
| MOMS_HOMELESS_HISTOR | 1 | 1 | 0.6707 | 0.0668 | 100.6884 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOMS_HOMELESS_HISTOR 1 vs 0 | 1.956 | 1.715 | 2.229 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 33.9 | Somers' D | 0.166 |
| Percent Discordant | 17.3 | Gamma | 0.323 |
| Percent Tied | 48.7 | Tau-a | 0.080 |
| Pairs | 3535634 | c | 0.583 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3004 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1433 |
| 2 | 0 | 1571 |
Probability modeled is APPROPRIATE_Testing=1.
815 observations were deleted due to missing values for the response or explanatory variables.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| EVER_IDU_HCV_MAT | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 4160.086 | 4150.999 |
| SC | 4166.094 | 4169.022 |
| -2 Log L | 4158.086 | 4144.999 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 13.0877 | 2 | 0.0014 |
| Score | 13.0637 | 2 | 0.0015 |
| Wald | 13.0379 | 2 | 0.0015 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| EVER_IDU_HCV_MAT | 2 | 13.0379 | 0.0015 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3542 | 0.2063 | 2.9484 | 0.0860 | |
| EVER_IDU_HCV_MAT | 1 | 1 | 0.3724 | 0.2117 | 3.0943 | 0.0786 |
| EVER_IDU_HCV_MAT | 9 | 1 | 0.1158 | 0.2146 | 0.2913 | 0.5894 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| EVER_IDU_HCV_MAT 1 vs 0 | 1.451 | 0.958 | 2.198 |
| EVER_IDU_HCV_MAT 9 vs 0 | 1.123 | 0.737 | 1.710 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.9 | Somers' D | 0.066 |
| Percent Discordant | 22.3 | Gamma | 0.128 |
| Percent Tied | 48.8 | Tau-a | 0.033 |
| Pairs | 2251243 | c | 0.533 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MENTAL_HEALTH_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5120.657 |
| SC | 5186.117 | 5133.152 |
| -2 Log L | 5177.870 | 5116.657 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 61.2129 | 1 | <.0001 |
| Score | 58.5486 | 1 | <.0001 |
| Wald | 56.6562 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MENTAL_HEALTH_DIAG | 1 | 56.6562 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.0110 | 0.0950 | 113.1644 | <.0001 | |
| MENTAL_HEALTH_DIAG | 1 | 1 | 0.7632 | 0.1014 | 56.6562 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MENTAL_HEALTH_DIAG 1 vs 0 | 2.145 | 1.759 | 2.617 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 16.7 | Somers' D | 0.089 |
| Percent Discordant | 7.8 | Gamma | 0.364 |
| Percent Tied | 75.5 | Tau-a | 0.043 |
| Pairs | 3535634 | c | 0.545 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| OTHER_SUBSTANCE_USE | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5046.324 |
| SC | 5186.117 | 5058.819 |
| -2 Log L | 5177.870 | 5042.324 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 135.5458 | 1 | <.0001 |
| Score | 130.8646 | 1 | <.0001 |
| Wald | 126.9368 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| OTHER_SUBSTANCE_USE | 1 | 126.9368 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.0087 | 0.0690 | 214.0011 | <.0001 | |
| OTHER_SUBSTANCE_USE | 1 | 1 | 0.8884 | 0.0789 | 126.9368 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| OTHER_SUBSTANCE_USE 1 vs 0 | 2.431 | 2.083 | 2.838 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.7 | Somers' D | 0.169 |
| Percent Discordant | 11.8 | Gamma | 0.417 |
| Percent Tied | 59.5 | Tau-a | 0.082 |
| Pairs | 3535634 | c | 0.585 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MATINF_HEPB | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5180.251 |
| SC | 5186.117 | 5192.746 |
| -2 Log L | 5177.870 | 5176.251 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.6189 | 1 | 0.2032 |
| Score | 1.5711 | 1 | 0.2101 |
| Wald | 1.5484 | 1 | 0.2134 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MATINF_HEPB | 1 | 1.5484 | 0.2134 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3476 | 0.0330 | 110.7127 | <.0001 | |
| MATINF_HEPB | 1 | 1 | -0.4196 | 0.3372 | 1.5484 | 0.2134 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MATINF_HEPB 1 vs 0 | 0.657 | 0.339 | 1.273 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 1.2 | Somers' D | 0.004 |
| Percent Discordant | 0.8 | Gamma | 0.207 |
| Percent Tied | 97.9 | Tau-a | 0.002 |
| Pairs | 3535634 | c | 0.502 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOUD_DURING_PREG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5069.837 |
| SC | 5186.117 | 5082.333 |
| -2 Log L | 5177.870 | 5065.837 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 112.0327 | 1 | <.0001 |
| Score | 111.2284 | 1 | <.0001 |
| Wald | 109.9440 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOUD_DURING_PREG | 1 | 109.9440 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.7285 | 0.0498 | 213.6929 | <.0001 | |
| MOUD_DURING_PREG | 1 | 1 | 0.7033 | 0.0671 | 109.9440 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOUD_DURING_PREG 1 vs 0 | 2.020 | 1.772 | 2.304 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 34.3 | Somers' D | 0.173 |
| Percent Discordant | 17.0 | Gamma | 0.338 |
| Percent Tied | 48.7 | Tau-a | 0.084 |
| Pairs | 3535634 | c | 0.587 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOUD_AT_DELIVERY | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5109.177 |
| SC | 5186.117 | 5121.672 |
| -2 Log L | 5177.870 | 5105.177 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 72.6929 | 1 | <.0001 |
| Score | 72.6293 | 1 | <.0001 |
| Wald | 72.1039 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOUD_AT_DELIVERY | 1 | 72.1039 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.6166 | 0.0461 | 179.2563 | <.0001 | |
| MOUD_AT_DELIVERY | 1 | 1 | 0.5639 | 0.0664 | 72.1039 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOUD_AT_DELIVERY 1 vs 0 | 1.758 | 1.543 | 2.002 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 32.4 | Somers' D | 0.140 |
| Percent Discordant | 18.4 | Gamma | 0.275 |
| Percent Tied | 49.2 | Tau-a | 0.068 |
| Pairs | 3535634 | c | 0.570 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| OUD_CAPTURE | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5092.284 |
| SC | 5186.117 | 5104.779 |
| -2 Log L | 5177.870 | 5088.284 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 89.5862 | 1 | <.0001 |
| Score | 88.5806 | 1 | <.0001 |
| Wald | 87.6364 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| OUD_CAPTURE | 1 | 87.6364 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.7360 | 0.0537 | 187.9067 | <.0001 | |
| OUD_CAPTURE | 1 | 1 | 0.6402 | 0.0684 | 87.6364 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| OUD_CAPTURE 1 vs 0 | 1.897 | 1.659 | 2.169 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 32.2 | Somers' D | 0.152 |
| Percent Discordant | 17.0 | Gamma | 0.310 |
| Percent Tied | 50.8 | Tau-a | 0.074 |
| Pairs | 3535634 | c | 0.576 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| IJI_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5148.898 |
| SC | 5186.117 | 5161.394 |
| -2 Log L | 5177.870 | 5144.898 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 32.9716 | 1 | <.0001 |
| Score | 33.2457 | 1 | <.0001 |
| Wald | 33.0420 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| IJI_DIAG | 1 | 33.0420 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4679 | 0.0389 | 144.8552 | <.0001 | |
| IJI_DIAG | 1 | 1 | 0.4230 | 0.0736 | 33.0420 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| IJI_DIAG 1 vs 0 | 1.527 | 1.322 | 1.763 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 24.3 | Somers' D | 0.084 |
| Percent Discordant | 15.9 | Gamma | 0.208 |
| Percent Tied | 59.7 | Tau-a | 0.041 |
| Pairs | 3535634 | c | 0.542 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| EVER_INCARCERATED | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5157.452 |
| SC | 5186.117 | 5169.948 |
| -2 Log L | 5177.870 | 5153.452 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 24.4174 | 1 | <.0001 |
| Score | 24.5090 | 1 | <.0001 |
| Wald | 24.4362 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| EVER_INCARCERATED | 1 | 24.4362 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4768 | 0.0418 | 130.1962 | <.0001 | |
| EVER_INCARCERATED | 1 | 1 | 0.3362 | 0.0680 | 24.4362 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| EVER_INCARCERATED 1 vs 0 | 1.400 | 1.225 | 1.599 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 27.4 | Somers' D | 0.078 |
| Percent Discordant | 19.6 | Gamma | 0.167 |
| Percent Tied | 53.0 | Tau-a | 0.038 |
| Pairs | 3535634 | c | 0.539 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MATINF_HEPC | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5034.782 |
| SC | 5186.117 | 5047.277 |
| -2 Log L | 5177.870 | 5030.782 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 147.0882 | 1 | <.0001 |
| Score | 145.0904 | 1 | <.0001 |
| Wald | 142.6436 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MATINF_HEPC | 1 | 142.6436 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.8270 | 0.0531 | 242.2376 | <.0001 | |
| MATINF_HEPC | 1 | 1 | 0.8177 | 0.0685 | 142.6436 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MATINF_HEPC 1 vs 0 | 2.265 | 1.981 | 2.591 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 35.2 | Somers' D | 0.196 |
| Percent Discordant | 15.5 | Gamma | 0.388 |
| Percent Tied | 49.3 | Tau-a | 0.095 |
| Pairs | 3535634 | c | 0.598 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOM_DISEASE_STATUS_HCV | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5008.959 |
| SC | 5186.117 | 5021.455 |
| -2 Log L | 5177.870 | 5004.959 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 172.9106 | 1 | <.0001 |
| Score | 161.8599 | 1 | <.0001 |
| Wald | 151.0067 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOM_DISEASE_STATUS_H | 1 | 151.0067 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1441 | 0.0363 | 15.7235 | <.0001 | |
| MOM_DISEASE_STATUS_H | 2 | 1 | -1.1695 | 0.0952 | 151.0067 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOM_DISEASE_STATUS_H 2 vs 1 | 0.311 | 0.258 | 0.374 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 24.4 | Somers' D | 0.168 |
| Percent Discordant | 7.6 | Gamma | 0.526 |
| Percent Tied | 68.1 | Tau-a | 0.082 |
| Pairs | 3535634 | c | 0.584 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| HCV_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 4836.491 |
| SC | 5186.117 | 4848.987 |
| -2 Log L | 5177.870 | 4832.491 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 345.3783 | 1 | <.0001 |
| Score | 306.0906 | 1 | <.0001 |
| Wald | 253.8069 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| HCV_DIAG | 1 | 253.8069 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.9007 | 0.1089 | 304.8700 | <.0001 | |
| HCV_DIAG | 1 | 1 | 1.8271 | 0.1147 | 253.8069 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| HCV_DIAG 1 vs 0 | 6.216 | 4.965 | 7.783 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 27.2 | Somers' D | 0.228 |
| Percent Discordant | 4.4 | Gamma | 0.723 |
| Percent Tied | 68.5 | Tau-a | 0.111 |
| Pairs | 3535634 | c | 0.614 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| AGE_BIRTH_GROUP | 19-25 | 1 | 0 | 0 | 0 |
| 26-35 | 0 | 0 | 0 | 0 | |
| <=18 | 0 | 1 | 0 | 0 | |
| >35 | 0 | 0 | 1 | 0 | |
| Unknown | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5165.910 |
| SC | 5186.117 | 5197.149 |
| -2 Log L | 5177.870 | 5155.910 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 21.9594 | 4 | 0.0002 |
| Score | 20.9598 | 4 | 0.0003 |
| Wald | 19.8647 | 4 | 0.0005 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| AGE_BIRTH_GROUP | 4 | 19.8647 | 0.0005 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3286 | 0.0410 | 64.2333 | <.0001 | |
| AGE_BIRTH_GROUP | 19-25 | 1 | 0.0875 | 0.0764 | 1.3089 | 0.2526 |
| AGE_BIRTH_GROUP | <=18 | 1 | -0.9241 | 0.5684 | 2.6432 | 0.1040 |
| AGE_BIRTH_GROUP | >35 | 1 | -0.4363 | 0.1174 | 13.8003 | 0.0002 |
| AGE_BIRTH_GROUP | Unknown | 1 | -10.9191 | 277.0 | 0.0016 | 0.9686 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| AGE_BIRTH_GROUP 19-25 vs 26-35 | 1.091 | 0.940 | 1.268 |
| AGE_BIRTH_GROUP <=18 vs 26-35 | 0.397 | 0.130 | 1.209 |
| AGE_BIRTH_GROUP >35 vs 26-35 | 0.646 | 0.514 | 0.814 |
| AGE_BIRTH_GROUP Unknown vs 26-35 | <0.001 | <0.001 | >999.999 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.6 | Somers' D | 0.058 |
| Percent Discordant | 22.8 | Gamma | 0.113 |
| Percent Tied | 48.6 | Tau-a | 0.028 |
| Pairs | 3535634 | c | 0.529 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||
|---|---|---|---|---|
| Class | Value | Design Variables | ||
| LANGUAGE_SPOKEN_GROUP | English | 0 | 0 | 0 |
| Other | 1 | 0 | 0 | |
| Refused or Unknown | 0 | 1 | 0 | |
| Spanish | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5168.765 |
| SC | 5186.117 | 5193.756 |
| -2 Log L | 5177.870 | 5160.765 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 17.1049 | 3 | 0.0007 |
| Score | 15.8321 | 3 | 0.0012 |
| Wald | 14.7819 | 3 | 0.0020 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LANGUAGE_SPOKEN_GROU | 3 | 14.7819 | 0.0020 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3296 | 0.0335 | 96.6346 | <.0001 | |
| LANGUAGE_SPOKEN_GROU | Other | 1 | -1.0285 | 0.3752 | 7.5123 | 0.0061 |
| LANGUAGE_SPOKEN_GROU | Refused or Unknown | 1 | -0.0350 | 0.2625 | 0.0178 | 0.8939 |
| LANGUAGE_SPOKEN_GROU | Spanish | 1 | -0.8380 | 0.3079 | 7.4092 | 0.0065 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LANGUAGE_SPOKEN_GROU Other vs English | 0.358 | 0.171 | 0.746 |
| LANGUAGE_SPOKEN_GROU Refused or Unknown vs English | 0.966 | 0.577 | 1.615 |
| LANGUAGE_SPOKEN_GROU Spanish vs English | 0.433 | 0.237 | 0.791 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 5.1 | Somers' D | 0.022 |
| Percent Discordant | 2.9 | Gamma | 0.270 |
| Percent Tied | 92.0 | Tau-a | 0.011 |
| Pairs | 3535634 | c | 0.511 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| MOTHER_EDU_GROUP | Associate or Bachelor | 1 | 0 | 0 | 0 |
| HS or GED | 0 | 0 | 0 | 0 | |
| No HS | 0 | 1 | 0 | 0 | |
| Other or Unknown | 0 | 0 | 1 | 0 | |
| Post graduate | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5111.147 |
| SC | 5186.117 | 5142.385 |
| -2 Log L | 5177.870 | 5101.147 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 76.7230 | 4 | <.0001 |
| Score | 68.2281 | 4 | <.0001 |
| Wald | 58.3258 | 4 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOTHER_EDU_GROUP | 4 | 58.3258 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2256 | 0.0556 | 16.4382 | <.0001 | |
| MOTHER_EDU_GROUP | Associate or Bachelor | 1 | -0.5784 | 0.1200 | 23.2272 | <.0001 |
| MOTHER_EDU_GROUP | No HS | 1 | -0.0738 | 0.0967 | 0.5813 | 0.4458 |
| MOTHER_EDU_GROUP | Other or Unknown | 1 | -0.0416 | 0.0784 | 0.2813 | 0.5958 |
| MOTHER_EDU_GROUP | Post graduate | 1 | -1.8745 | 0.3109 | 36.3625 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOTHER_EDU_GROUP Associate or Bachelor vs HS or GED | 0.561 | 0.443 | 0.710 |
| MOTHER_EDU_GROUP No HS vs HS or GED | 0.929 | 0.768 | 1.123 |
| MOTHER_EDU_GROUP Other or Unknown vs HS or GED | 0.959 | 0.823 | 1.119 |
| MOTHER_EDU_GROUP Post graduate vs HS or GED | 0.153 | 0.083 | 0.282 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 40.7 | Somers' D | 0.096 |
| Percent Discordant | 31.0 | Gamma | 0.135 |
| Percent Tied | 28.3 | Tau-a | 0.047 |
| Pairs | 3535634 | c | 0.548 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| LD_PAY | 1 | 0 | 0 |
| 2 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5115.370 |
| SC | 5186.117 | 5134.113 |
| -2 Log L | 5177.870 | 5109.370 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 68.4997 | 2 | <.0001 |
| Score | 66.3909 | 2 | <.0001 |
| Wald | 64.9484 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LD_PAY | 2 | 64.9484 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2107 | 0.0369 | 32.5224 | <.0001 | |
| LD_PAY | 2 | 1 | -0.6859 | 0.0852 | 64.8437 | <.0001 |
| LD_PAY | 9 | 1 | -0.2488 | 0.3706 | 0.4509 | 0.5019 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LD_PAY 2 vs 1 | 0.504 | 0.426 | 0.595 |
| LD_PAY 9 vs 1 | 0.780 | 0.377 | 1.612 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 22.9 | Somers' D | 0.111 |
| Percent Discordant | 11.7 | Gamma | 0.322 |
| Percent Tied | 65.4 | Tau-a | 0.054 |
| Pairs | 3535634 | c | 0.556 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| KOTELCHUCK | 0 | 1 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 | |
| 2 | 0 | 0 | 1 | 0 | |
| 3 | 0 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5149.563 |
| SC | 5186.117 | 5180.802 |
| -2 Log L | 5177.870 | 5139.563 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 38.3070 | 4 | <.0001 |
| Score | 38.5605 | 4 | <.0001 |
| Wald | 38.3229 | 4 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| KOTELCHUCK | 4 | 38.3229 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.5213 | 0.0632 | 68.0333 | <.0001 | |
| KOTELCHUCK | 0 | 1 | 0.3593 | 0.1560 | 5.3070 | 0.0212 |
| KOTELCHUCK | 1 | 1 | 0.4848 | 0.0897 | 29.1850 | <.0001 |
| KOTELCHUCK | 2 | 1 | 0.0710 | 0.1193 | 0.3545 | 0.5516 |
| KOTELCHUCK | 4 | 1 | 0.0496 | 0.0875 | 0.3212 | 0.5709 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| KOTELCHUCK 0 vs 3 | 1.432 | 1.055 | 1.945 |
| KOTELCHUCK 1 vs 3 | 1.624 | 1.362 | 1.936 |
| KOTELCHUCK 2 vs 3 | 1.074 | 0.850 | 1.356 |
| KOTELCHUCK 4 vs 3 | 1.051 | 0.885 | 1.247 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 42.7 | Somers' D | 0.102 |
| Percent Discordant | 32.5 | Gamma | 0.135 |
| Percent Tied | 24.8 | Tau-a | 0.049 |
| Pairs | 3535634 | c | 0.551 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| PRENAT_SITE | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5171.911 |
| SC | 5186.117 | 5209.397 |
| -2 Log L | 5177.870 | 5159.911 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 17.9592 | 5 | 0.0030 |
| Score | 18.0585 | 5 | 0.0029 |
| Wald | 18.0030 | 5 | 0.0029 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| PRENAT_SITE | 5 | 18.0030 | 0.0029 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4429 | 0.0415 | 113.8273 | <.0001 | |
| PRENAT_SITE | 2 | 1 | 0.2831 | 0.1277 | 4.9151 | 0.0266 |
| PRENAT_SITE | 3 | 1 | -0.0733 | 0.2118 | 0.1198 | 0.7292 |
| PRENAT_SITE | 4 | 1 | 0.3037 | 0.0819 | 13.7456 | 0.0002 |
| PRENAT_SITE | 5 | 1 | 0.3941 | 0.3152 | 1.5634 | 0.2112 |
| PRENAT_SITE | 9 | 1 | 0.0634 | 0.1662 | 0.1454 | 0.7030 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| PRENAT_SITE 2 vs 1 | 1.327 | 1.033 | 1.705 |
| PRENAT_SITE 3 vs 1 | 0.929 | 0.614 | 1.408 |
| PRENAT_SITE 4 vs 1 | 1.355 | 1.154 | 1.591 |
| PRENAT_SITE 5 vs 1 | 1.483 | 0.800 | 2.751 |
| PRENAT_SITE 9 vs 1 | 1.065 | 0.769 | 1.476 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 30.6 | Somers' D | 0.067 |
| Percent Discordant | 24.0 | Gamma | 0.122 |
| Percent Tied | 45.4 | Tau-a | 0.032 |
| Pairs | 3535634 | c | 0.533 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 3819 |
|---|---|
| Number of Observations Used | 3819 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 1577 |
| 2 | 0 | 2242 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| DISCH_WITH_MOM | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 5179.870 | 5171.122 |
| SC | 5186.117 | 5189.866 |
| -2 Log L | 5177.870 | 5165.122 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 12.7474 | 2 | 0.0017 |
| Score | 12.7314 | 2 | 0.0017 |
| Wald | 12.6859 | 2 | 0.0018 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| DISCH_WITH_MOM | 2 | 12.6859 | 0.0018 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1978 | 0.0562 | 12.3821 | 0.0004 | |
| DISCH_WITH_MOM | 1 | 1 | -0.2249 | 0.0697 | 10.4217 | 0.0012 |
| DISCH_WITH_MOM | 9 | 1 | -0.5397 | 0.2652 | 4.1406 | 0.0419 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| DISCH_WITH_MOM 1 vs 0 | 0.799 | 0.697 | 0.915 |
| DISCH_WITH_MOM 9 vs 0 | 0.583 | 0.347 | 0.980 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 26.4 | Somers' D | 0.056 |
| Percent Discordant | 20.8 | Gamma | 0.118 |
| Percent Tied | 52.8 | Tau-a | 0.027 |
| Pairs | 3535634 | c | 0.528 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| final_sex | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.508 |
| SC | 1742.037 | 1748.787 |
| -2 Log L | 1734.897 | 1734.508 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.3893 | 1 | 0.5327 |
| Score | 0.3893 | 1 | 0.5327 |
| Wald | 0.3892 | 1 | 0.5327 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_sex | 1 | 0.3892 | 0.5327 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2398 | 0.0793 | 9.1434 | 0.0025 | |
| final_sex | 2 | 1 | 0.0707 | 0.1133 | 0.3892 | 0.5327 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_sex 2 vs 1 | 1.073 | 0.860 | 1.340 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 25.9 | Somers' D | 0.018 |
| Percent Discordant | 24.1 | Gamma | 0.035 |
| Percent Tied | 50.0 | Tau-a | 0.009 |
| Pairs | 393370 | c | 0.509 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| final_sex | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3311.697 |
| SC | 3316.301 | 3323.315 |
| -2 Log L | 3308.492 | 3307.697 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.7950 | 1 | 0.3726 |
| Score | 0.7950 | 1 | 0.3726 |
| Wald | 0.7949 | 1 | 0.3726 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_sex | 1 | 0.7949 | 0.3726 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4554 | 0.0579 | 61.8047 | <.0001 | |
| final_sex | 2 | 1 | 0.0735 | 0.0824 | 0.7949 | 0.3726 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_sex 2 vs 1 | 1.076 | 0.916 | 1.265 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 25.9 | Somers' D | 0.018 |
| Percent Discordant | 24.1 | Gamma | 0.037 |
| Percent Tied | 50.0 | Tau-a | 0.009 |
| Pairs | 1451822 | c | 0.509 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| GESTATIONAL_AGE_CAT | Preterm | 1 | 0 |
| Term | 0 | 0 | |
| Unknown | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1736.007 |
| SC | 1742.037 | 1751.426 |
| -2 Log L | 1734.897 | 1730.007 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 4.8907 | 2 | 0.0867 |
| Score | 4.4964 | 2 | 0.1056 |
| Wald | 3.6738 | 2 | 0.1593 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| GESTATIONAL_AGE_CAT | 2 | 3.6738 | 0.1593 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1376 | 0.0662 | 4.3214 | 0.0376 | |
| GESTATIONAL_AGE_CAT | Preterm | 1 | -0.2460 | 0.1284 | 3.6731 | 0.0553 |
| GESTATIONAL_AGE_CAT | Unknown | 1 | -12.0812 | 450.1 | 0.0007 | 0.9786 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| GESTATIONAL_AGE_CAT Preterm vs Term | 0.782 | 0.608 | 1.006 |
| GESTATIONAL_AGE_CAT Unknown vs Term | <0.001 | <0.001 | >999.999 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 22.3 | Somers' D | 0.050 |
| Percent Discordant | 17.3 | Gamma | 0.126 |
| Percent Tied | 60.4 | Tau-a | 0.025 |
| Pairs | 393370 | c | 0.525 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| GESTATIONAL_AGE_CAT | Preterm | 1 | 0 |
| Term | 0 | 0 | |
| Unknown | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3309.080 |
| SC | 3316.301 | 3326.508 |
| -2 Log L | 3308.492 | 3303.080 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 5.4118 | 2 | 0.0668 |
| Score | 5.4958 | 2 | 0.0641 |
| Wald | 5.4566 | 2 | 0.0653 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| GESTATIONAL_AGE_CAT | 2 | 5.4566 | 0.0653 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4487 | 0.0432 | 107.6203 | <.0001 | |
| GESTATIONAL_AGE_CAT | Preterm | 1 | 0.3353 | 0.1442 | 5.4064 | 0.0201 |
| GESTATIONAL_AGE_CAT | Unknown | 1 | -0.2445 | 1.2255 | 0.0398 | 0.8419 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| GESTATIONAL_AGE_CAT Preterm vs Term | 1.398 | 1.054 | 1.855 |
| GESTATIONAL_AGE_CAT Unknown vs Term | 0.783 | 0.071 | 8.649 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 9.6 | Somers' D | 0.027 |
| Percent Discordant | 6.9 | Gamma | 0.166 |
| Percent Tied | 83.6 | Tau-a | 0.013 |
| Pairs | 1451822 | c | 0.514 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| final_re | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.201 |
| SC | 1742.037 | 1769.039 |
| -2 Log L | 1734.897 | 1726.201 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 8.6966 | 5 | 0.1218 |
| Score | 6.3853 | 5 | 0.2705 |
| Wald | 1.4259 | 5 | 0.9215 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_re | 5 | 1.4259 | 0.9215 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1906 | 0.0642 | 8.8078 | 0.0030 | |
| final_re | 2 | 1 | -0.0326 | 0.2457 | 0.0176 | 0.8945 |
| final_re | 3 | 1 | -14.0283 | 499.5 | 0.0008 | 0.9776 |
| final_re | 4 | 1 | 0.0400 | 0.1655 | 0.0584 | 0.8090 |
| final_re | 5 | 1 | -0.3401 | 0.4037 | 0.7097 | 0.3995 |
| final_re | 9 | 1 | -0.9080 | 1.1565 | 0.6165 | 0.4323 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_re 2 vs 1 | 0.968 | 0.598 | 1.567 |
| final_re 3 vs 1 | <0.001 | <0.001 | >999.999 |
| final_re 4 vs 1 | 1.041 | 0.753 | 1.439 |
| final_re 5 vs 1 | 0.712 | 0.323 | 1.570 |
| final_re 9 vs 1 | 0.403 | 0.042 | 3.891 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 19.9 | Somers' D | 0.024 |
| Percent Discordant | 17.5 | Gamma | 0.065 |
| Percent Tied | 62.6 | Tau-a | 0.012 |
| Pairs | 393370 | c | 0.512 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| final_re | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3297.009 |
| SC | 3316.301 | 3331.864 |
| -2 Log L | 3308.492 | 3285.009 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 23.4831 | 5 | 0.0003 |
| Score | 20.0236 | 5 | 0.0012 |
| Wald | 15.1624 | 5 | 0.0097 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_re | 5 | 15.1624 | 0.0097 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3481 | 0.0474 | 53.9007 | <.0001 | |
| final_re | 2 | 1 | -0.1850 | 0.1568 | 1.3920 | 0.2381 |
| final_re | 3 | 1 | -1.3337 | 0.3879 | 11.8184 | 0.0006 |
| final_re | 4 | 1 | -0.1998 | 0.1232 | 2.6281 | 0.1050 |
| final_re | 5 | 1 | -0.2527 | 0.3055 | 0.6842 | 0.4081 |
| final_re | 9 | 1 | -12.9173 | 339.7 | 0.0014 | 0.9697 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_re 2 vs 1 | 0.831 | 0.611 | 1.130 |
| final_re 3 vs 1 | 0.264 | 0.123 | 0.564 |
| final_re 4 vs 1 | 0.819 | 0.643 | 1.043 |
| final_re 5 vs 1 | 0.777 | 0.427 | 1.413 |
| final_re 9 vs 1 | <0.001 | <0.001 | >999.999 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 23.6 | Somers' D | 0.059 |
| Percent Discordant | 17.7 | Gamma | 0.142 |
| Percent Tied | 58.6 | Tau-a | 0.028 |
| Pairs | 1451822 | c | 0.529 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| MOMS_FINAL_RE | 1 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | |
| 5 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1741.128 |
| SC | 1742.037 | 1766.826 |
| -2 Log L | 1734.897 | 1731.128 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 3.7697 | 4 | 0.4381 |
| Score | 3.5250 | 4 | 0.4741 |
| Wald | 3.2204 | 4 | 0.5216 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOMS_FINAL_RE | 4 | 3.2204 | 0.5216 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1898 | 0.0597 | 10.0926 | 0.0015 | |
| MOMS_FINAL_RE | 2 | 1 | -0.3210 | 0.3041 | 1.1148 | 0.2910 |
| MOMS_FINAL_RE | 3 | 1 | -1.4195 | 1.0970 | 1.6744 | 0.1957 |
| MOMS_FINAL_RE | 4 | 1 | 0.0754 | 0.2468 | 0.0933 | 0.7600 |
| MOMS_FINAL_RE | 5 | 1 | -0.5034 | 0.8681 | 0.3362 | 0.5620 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOMS_FINAL_RE 2 vs 1 | 0.725 | 0.400 | 1.316 |
| MOMS_FINAL_RE 3 vs 1 | 0.242 | 0.028 | 2.076 |
| MOMS_FINAL_RE 4 vs 1 | 1.078 | 0.665 | 1.749 |
| MOMS_FINAL_RE 5 vs 1 | 0.604 | 0.110 | 3.314 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 10.6 | Somers' D | 0.023 |
| Percent Discordant | 8.3 | Gamma | 0.121 |
| Percent Tied | 81.0 | Tau-a | 0.011 |
| Pairs | 393370 | c | 0.511 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| MOMS_FINAL_RE | 1 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | |
| 5 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3291.165 |
| SC | 3316.301 | 3320.210 |
| -2 Log L | 3308.492 | 3281.165 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 27.3272 | 4 | <.0001 |
| Score | 25.7335 | 4 | <.0001 |
| Wald | 24.4809 | 4 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOMS_FINAL_RE | 4 | 24.4809 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3297 | 0.0451 | 53.4252 | <.0001 | |
| MOMS_FINAL_RE | 2 | 1 | -0.4930 | 0.1807 | 7.4423 | 0.0064 |
| MOMS_FINAL_RE | 3 | 1 | -1.2544 | 0.3907 | 10.3062 | 0.0013 |
| MOMS_FINAL_RE | 4 | 1 | -0.4468 | 0.1523 | 8.6086 | 0.0033 |
| MOMS_FINAL_RE | 5 | 1 | -0.2989 | 0.4401 | 0.4613 | 0.4970 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOMS_FINAL_RE 2 vs 1 | 0.611 | 0.429 | 0.870 |
| MOMS_FINAL_RE 3 vs 1 | 0.285 | 0.133 | 0.614 |
| MOMS_FINAL_RE 4 vs 1 | 0.640 | 0.475 | 0.862 |
| MOMS_FINAL_RE 5 vs 1 | 0.742 | 0.313 | 1.757 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 19.1 | Somers' D | 0.076 |
| Percent Discordant | 11.4 | Gamma | 0.250 |
| Percent Tied | 69.5 | Tau-a | 0.037 |
| Pairs | 1451822 | c | 0.538 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||||||||||
| county | BARNSTABLE | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| BERKSHIRE | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| BRISTOL | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| ESSEX | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| FRANKLIN | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| HAMPDEN | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| HAMPSHIRE | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | ||
| MIDDLESEX | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| NANTUCKET | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ||
| NORFOLK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
| PLYMOUTH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | ||
| SUFFOLK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | ||
| WORCESTER | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1747.447 |
| SC | 1742.037 | 1814.262 |
| -2 Log L | 1734.897 | 1721.447 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 13.4505 | 12 | 0.3372 |
| Score | 12.9572 | 12 | 0.3722 |
| Wald | 12.0087 | 12 | 0.4450 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| county | 12 | 12.0087 | 0.4450 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1510 | 0.1422 | 1.1285 | 0.2881 | |
| county | BARNSTABLE | 1 | -0.2384 | 0.3164 | 0.5679 | 0.4511 |
| county | BERKSHIRE | 1 | -0.5749 | 0.3452 | 2.7741 | 0.0958 |
| county | BRISTOL | 1 | 0.1989 | 0.1984 | 1.0049 | 0.3161 |
| county | ESSEX | 1 | -0.1172 | 0.2327 | 0.2538 | 0.6144 |
| county | FRANKLIN | 1 | -0.6374 | 0.5578 | 1.3059 | 0.2531 |
| county | HAMPDEN | 1 | 0.1006 | 0.2321 | 0.1880 | 0.6646 |
| county | HAMPSHIRE | 1 | -0.3598 | 0.3919 | 0.8430 | 0.3585 |
| county | NANTUCKET | 1 | -12.0678 | 450.1 | 0.0007 | 0.9786 |
| county | NORFOLK | 1 | 0.1510 | 0.2753 | 0.3011 | 0.5832 |
| county | PLYMOUTH | 1 | -0.2544 | 0.2410 | 1.1143 | 0.2912 |
| county | SUFFOLK | 1 | 0.0796 | 0.3029 | 0.0690 | 0.7927 |
| county | WORCESTER | 1 | -0.1571 | 0.1952 | 0.6474 | 0.4211 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| county BARNSTABLE vs MIDDLESEX | 0.788 | 0.424 | 1.465 |
| county BERKSHIRE vs MIDDLESEX | 0.563 | 0.286 | 1.107 |
| county BRISTOL vs MIDDLESEX | 1.220 | 0.827 | 1.800 |
| county ESSEX vs MIDDLESEX | 0.889 | 0.564 | 1.403 |
| county FRANKLIN vs MIDDLESEX | 0.529 | 0.177 | 1.577 |
| county HAMPDEN vs MIDDLESEX | 1.106 | 0.702 | 1.743 |
| county HAMPSHIRE vs MIDDLESEX | 0.698 | 0.324 | 1.504 |
| county NANTUCKET vs MIDDLESEX | <0.001 | <0.001 | >999.999 |
| county NORFOLK vs MIDDLESEX | 1.163 | 0.678 | 1.995 |
| county PLYMOUTH vs MIDDLESEX | 0.775 | 0.483 | 1.244 |
| county SUFFOLK vs MIDDLESEX | 1.083 | 0.598 | 1.961 |
| county WORCESTER vs MIDDLESEX | 0.855 | 0.583 | 1.253 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 49.5 | Somers' D | 0.110 |
| Percent Discordant | 38.5 | Gamma | 0.125 |
| Percent Tied | 12.0 | Tau-a | 0.055 |
| Pairs | 393370 | c | 0.555 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||||||||||
| county | BARNSTABLE | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| BERKSHIRE | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| BRISTOL | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| DUKES | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| ESSEX | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| FRANKLIN | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| HAMPDEN | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| HAMPSHIRE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |
| MIDDLESEX | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| NANTUCKET | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | |
| NORFOLK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |
| PLYMOUTH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
| SUFFOLK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
| WORCESTER | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3300.336 |
| SC | 3316.301 | 3381.664 |
| -2 Log L | 3308.492 | 3272.336 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 36.1562 | 13 | 0.0006 |
| Score | 35.4674 | 13 | 0.0007 |
| Wald | 34.7552 | 13 | 0.0009 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| county | 13 | 34.7552 | 0.0009 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3988 | 0.1052 | 14.3723 | 0.0001 | |
| county | BARNSTABLE | 1 | 0.1253 | 0.1756 | 0.5088 | 0.4757 |
| county | BERKSHIRE | 1 | -0.5820 | 0.2957 | 3.8732 | 0.0491 |
| county | BRISTOL | 1 | 0.00126 | 0.1557 | 0.0001 | 0.9935 |
| county | DUKES | 1 | -0.2943 | 1.2293 | 0.0573 | 0.8108 |
| county | ESSEX | 1 | -0.1981 | 0.1590 | 1.5516 | 0.2129 |
| county | FRANKLIN | 1 | -0.1608 | 0.3769 | 0.1821 | 0.6696 |
| county | HAMPDEN | 1 | -0.5117 | 0.2261 | 5.1215 | 0.0236 |
| county | HAMPSHIRE | 1 | -0.1990 | 0.3898 | 0.2606 | 0.6097 |
| county | NANTUCKET | 1 | -1.3926 | 1.0851 | 1.6471 | 0.1994 |
| county | NORFOLK | 1 | 0.2876 | 0.1722 | 2.7902 | 0.0948 |
| county | PLYMOUTH | 1 | 0.1189 | 0.1568 | 0.5749 | 0.4483 |
| county | SUFFOLK | 1 | 0.3366 | 0.1699 | 3.9251 | 0.0476 |
| county | WORCESTER | 1 | -0.3361 | 0.1706 | 3.8811 | 0.0488 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| county BARNSTABLE vs MIDDLESEX | 1.133 | 0.803 | 1.599 |
| county BERKSHIRE vs MIDDLESEX | 0.559 | 0.313 | 0.998 |
| county BRISTOL vs MIDDLESEX | 1.001 | 0.738 | 1.358 |
| county DUKES vs MIDDLESEX | 0.745 | 0.067 | 8.289 |
| county ESSEX vs MIDDLESEX | 0.820 | 0.601 | 1.120 |
| county FRANKLIN vs MIDDLESEX | 0.851 | 0.407 | 1.782 |
| county HAMPDEN vs MIDDLESEX | 0.599 | 0.385 | 0.934 |
| county HAMPSHIRE vs MIDDLESEX | 0.820 | 0.382 | 1.760 |
| county NANTUCKET vs MIDDLESEX | 0.248 | 0.030 | 2.084 |
| county NORFOLK vs MIDDLESEX | 1.333 | 0.951 | 1.868 |
| county PLYMOUTH vs MIDDLESEX | 1.126 | 0.828 | 1.531 |
| county SUFFOLK vs MIDDLESEX | 1.400 | 1.004 | 1.953 |
| county WORCESTER vs MIDDLESEX | 0.715 | 0.511 | 0.998 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 51.4 | Somers' D | 0.136 |
| Percent Discordant | 37.9 | Gamma | 0.152 |
| Percent Tied | 10.7 | Tau-a | 0.065 |
| Pairs | 1451822 | c | 0.568 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| WELL_CHILD | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1579.872 |
| SC | 1742.037 | 1590.152 |
| -2 Log L | 1734.897 | 1575.872 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 159.0252 | 1 | <.0001 |
| Score | 138.3856 | 1 | <.0001 |
| Wald | 101.6954 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| WELL_CHILD | 1 | 101.6954 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -2.1972 | 0.2198 | 99.9353 | <.0001 | |
| WELL_CHILD | 1 | 1 | 2.3040 | 0.2285 | 101.6954 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| WELL_CHILD 1 vs 0 | 10.014 | 6.399 | 15.671 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.6 | Somers' D | 0.257 |
| Percent Discordant | 2.9 | Gamma | 0.818 |
| Percent Tied | 68.6 | Tau-a | 0.127 |
| Pairs | 393370 | c | 0.629 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| WELL_CHILD | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3137.979 |
| SC | 3316.301 | 3149.597 |
| -2 Log L | 3308.492 | 3133.979 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 174.5128 | 1 | <.0001 |
| Score | 149.6062 | 1 | <.0001 |
| Wald | 118.6658 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| WELL_CHILD | 1 | 118.6658 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -2.1203 | 0.1695 | 156.5403 | <.0001 | |
| WELL_CHILD | 1 | 1 | 1.9070 | 0.1751 | 118.6658 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| WELL_CHILD 1 vs 0 | 6.733 | 4.777 | 9.489 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 21.0 | Somers' D | 0.179 |
| Percent Discordant | 3.1 | Gamma | 0.741 |
| Percent Tied | 75.9 | Tau-a | 0.086 |
| Pairs | 1451822 | c | 0.589 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| NAS_BC_TOTAL | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1734.470 |
| SC | 1742.037 | 1749.889 |
| -2 Log L | 1734.897 | 1728.470 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 6.4274 | 2 | 0.0402 |
| Score | 6.2931 | 2 | 0.0430 |
| Wald | 6.1915 | 2 | 0.0452 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| NAS_BC_TOTAL | 2 | 6.1915 | 0.0452 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1457 | 0.0723 | 4.0655 | 0.0438 | |
| NAS_BC_TOTAL | 1 | 1 | -0.0464 | 0.1263 | 0.1347 | 0.7136 |
| NAS_BC_TOTAL | 9 | 1 | -0.5214 | 0.2098 | 6.1758 | 0.0130 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| NAS_BC_TOTAL 1 vs 0 | 0.955 | 0.745 | 1.223 |
| NAS_BC_TOTAL 9 vs 0 | 0.594 | 0.394 | 0.896 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.9 | Somers' D | 0.049 |
| Percent Discordant | 24.0 | Gamma | 0.093 |
| Percent Tied | 47.1 | Tau-a | 0.024 |
| Pairs | 393370 | c | 0.524 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| NAS_BC_TOTAL | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3291.136 |
| SC | 3316.301 | 3308.564 |
| -2 Log L | 3308.492 | 3285.136 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 23.3559 | 2 | <.0001 |
| Score | 23.7674 | 2 | <.0001 |
| Wald | 22.8804 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| NAS_BC_TOTAL | 2 | 22.8804 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4228 | 0.0460 | 84.3522 | <.0001 | |
| NAS_BC_TOTAL | 1 | 1 | 0.7620 | 0.1872 | 16.5659 | <.0001 |
| NAS_BC_TOTAL | 9 | 1 | -0.2539 | 0.1199 | 4.4835 | 0.0342 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| NAS_BC_TOTAL 1 vs 0 | 2.143 | 1.484 | 3.092 |
| NAS_BC_TOTAL 9 vs 0 | 0.776 | 0.613 | 0.981 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 20.2 | Somers' D | 0.069 |
| Percent Discordant | 13.3 | Gamma | 0.205 |
| Percent Tied | 66.4 | Tau-a | 0.033 |
| Pairs | 1451822 | c | 0.534 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| INF_VAC_HBIG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1737.528 |
| SC | 1742.037 | 1747.808 |
| -2 Log L | 1734.897 | 1733.528 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.3691 | 1 | 0.2420 |
| Score | 1.2566 | 1 | 0.2623 |
| Wald | 1.1204 | 1 | 0.2898 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| INF_VAC_HBIG | 1 | 1.1204 | 0.2898 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2013 | 0.0567 | 12.5975 | 0.0004 | |
| INF_VAC_HBIG | 1 | 1 | -1.1850 | 1.1195 | 1.1204 | 0.2898 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| INF_VAC_HBIG 1 vs 0 | 0.306 | 0.034 | 2.743 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.6 | Somers' D | 0.004 |
| Percent Discordant | 0.2 | Gamma | 0.532 |
| Percent Tied | 99.2 | Tau-a | 0.002 |
| Pairs | 393370 | c | 0.502 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| INF_VAC_HBIG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3312.285 |
| SC | 3316.301 | 3323.904 |
| -2 Log L | 3308.492 | 3308.285 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.2065 | 1 | 0.6495 |
| Score | 0.2021 | 1 | 0.6530 |
| Wald | 0.2009 | 1 | 0.6540 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| INF_VAC_HBIG | 1 | 0.2009 | 0.6540 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4181 | 0.0413 | 102.5471 | <.0001 | |
| INF_VAC_HBIG | 1 | 1 | -0.2751 | 0.6138 | 0.2009 | 0.6540 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| INF_VAC_HBIG 1 vs 0 | 0.760 | 0.228 | 2.529 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.5 | Somers' D | 0.001 |
| Percent Discordant | 0.4 | Gamma | 0.137 |
| Percent Tied | 99.1 | Tau-a | 0.001 |
| Pairs | 1451822 | c | 0.501 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| HIV_DIAGNOSIS | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.855 |
| SC | 1742.037 | 1749.135 |
| -2 Log L | 1734.897 | 1734.855 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.0422 | 1 | 0.8372 |
| Score | 0.0424 | 1 | 0.8368 |
| Wald | 0.0429 | 1 | 0.8359 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| HIV_DIAGNOSIS | 1 | 0.0429 | 0.8359 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2060 | 0.0567 | 13.1920 | 0.0003 | |
| HIV_DIAGNOSIS | 1 | 1 | 0.2074 | 1.0016 | 0.0429 | 0.8359 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| HIV_DIAGNOSIS 1 vs 0 | 1.231 | 0.173 | 8.763 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.4 | Somers' D | 0.001 |
| Percent Discordant | 0.3 | Gamma | 0.103 |
| Percent Tied | 99.4 | Tau-a | 0.000 |
| Pairs | 393370 | c | 0.500 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| HIV_DIAGNOSIS | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3308.826 |
| SC | 3316.301 | 3320.444 |
| -2 Log L | 3308.492 | 3304.826 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 3.6662 | 1 | 0.0555 |
| Score | 3.0778 | 1 | 0.0794 |
| Wald | 2.4570 | 1 | 0.1170 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| HIV_DIAGNOSIS | 1 | 2.4570 | 0.1170 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4150 | 0.0412 | 101.2300 | <.0001 | |
| HIV_DIAGNOSIS | 1 | 1 | -1.6627 | 1.0607 | 2.4570 | 0.1170 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| HIV_DIAGNOSIS 1 vs 0 | 0.190 | 0.024 | 1.516 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.5 | Somers' D | 0.004 |
| Percent Discordant | 0.1 | Gamma | 0.682 |
| Percent Tied | 99.4 | Tau-a | 0.002 |
| Pairs | 1451822 | c | 0.502 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| foreign_born | 0 | 0 | |
| 1 | 1 | ||
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.785 |
| SC | 1742.037 | 1749.064 |
| -2 Log L | 1734.897 | 1734.785 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.1123 | 1 | 0.7376 |
| Score | 0.1118 | 1 | 0.7381 |
| Wald | 0.1101 | 1 | 0.7401 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| foreign_born | 1 | 0.1101 | 0.7401 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2023 | 0.0573 | 12.4582 | 0.0004 | |
| foreign_born | 1 | 1 | -0.1222 | 0.3684 | 0.1101 | 0.7401 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| foreign_born 1 vs 0 | 0.885 | 0.430 | 1.822 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 2.5 | Somers' D | 0.003 |
| Percent Discordant | 2.2 | Gamma | 0.061 |
| Percent Tied | 95.2 | Tau-a | 0.001 |
| Pairs | 393370 | c | 0.501 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| foreign_born | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 8 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3280.632 |
| SC | 3316.301 | 3298.059 |
| -2 Log L | 3308.492 | 3274.632 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 33.8602 | 2 | <.0001 |
| Score | 31.2570 | 2 | <.0001 |
| Wald | 28.9636 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| foreign_born | 2 | 28.9636 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3478 | 0.0429 | 65.7909 | <.0001 | |
| foreign_born | 1 | 1 | -0.9020 | 0.1676 | 28.9621 | <.0001 |
| foreign_born | 8 | 1 | -10.9176 | 279.4 | 0.0015 | 0.9688 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| foreign_born 1 vs 0 | 0.406 | 0.292 | 0.564 |
| foreign_born 8 vs 0 | <0.001 | <0.001 | >999.999 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 11.0 | Somers' D | 0.066 |
| Percent Discordant | 4.4 | Gamma | 0.425 |
| Percent Tied | 84.6 | Tau-a | 0.031 |
| Pairs | 1451822 | c | 0.533 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| Homeless_History | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1673.227 |
| SC | 1742.037 | 1688.646 |
| -2 Log L | 1734.897 | 1667.227 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 67.6706 | 2 | <.0001 |
| Score | 63.8047 | 2 | <.0001 |
| Wald | 58.7585 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| Homeless_History | 2 | 58.7585 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.00210 | 0.0649 | 0.0011 | 0.9741 | |
| Homeless_History | 1 | 1 | 0.2057 | 0.2506 | 0.6740 | 0.4117 |
| Homeless_History | 9 | 1 | -1.2640 | 0.1685 | 56.2742 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| Homeless_History 1 vs 0 | 1.228 | 0.752 | 2.007 |
| Homeless_History 9 vs 0 | 0.283 | 0.203 | 0.393 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 29.1 | Somers' D | 0.185 |
| Percent Discordant | 10.6 | Gamma | 0.467 |
| Percent Tied | 60.3 | Tau-a | 0.092 |
| Pairs | 393370 | c | 0.593 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| Homeless_History | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3211.944 |
| SC | 3316.301 | 3229.371 |
| -2 Log L | 3308.492 | 3205.944 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 102.5482 | 2 | <.0001 |
| Score | 100.3328 | 2 | <.0001 |
| Wald | 97.9691 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| Homeless_History | 2 | 97.9691 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1217 | 0.0530 | 5.2828 | 0.0215 | |
| Homeless_History | 1 | 1 | 0.3506 | 0.2326 | 2.2717 | 0.1318 |
| Homeless_History | 9 | 1 | -0.8533 | 0.0899 | 90.0950 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| Homeless_History 1 vs 0 | 1.420 | 0.900 | 2.240 |
| Homeless_History 9 vs 0 | 0.426 | 0.357 | 0.508 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 36.4 | Somers' D | 0.205 |
| Percent Discordant | 15.9 | Gamma | 0.392 |
| Percent Tied | 47.7 | Tau-a | 0.098 |
| Pairs | 1451822 | c | 0.603 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOMS_HOMELESS_HISTORY | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1731.404 |
| SC | 1742.037 | 1741.683 |
| -2 Log L | 1734.897 | 1727.404 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 7.4933 | 1 | 0.0062 |
| Score | 7.4615 | 1 | 0.0063 |
| Wald | 7.4410 | 1 | 0.0064 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOMS_HOMELESS_HISTOR | 1 | 7.4410 | 0.0064 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4109 | 0.0948 | 18.7774 | <.0001 | |
| MOMS_HOMELESS_HISTOR | 1 | 1 | 0.3230 | 0.1184 | 7.4410 | 0.0064 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOMS_HOMELESS_HISTOR 1 vs 0 | 1.381 | 1.095 | 1.742 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 27.0 | Somers' D | 0.075 |
| Percent Discordant | 19.6 | Gamma | 0.160 |
| Percent Tied | 53.4 | Tau-a | 0.037 |
| Pairs | 393370 | c | 0.537 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOMS_HOMELESS_HISTORY | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3223.041 |
| SC | 3316.301 | 3234.659 |
| -2 Log L | 3308.492 | 3219.041 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 89.4510 | 1 | <.0001 |
| Score | 89.3153 | 1 | <.0001 |
| Wald | 88.0177 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOMS_HOMELESS_HISTOR | 1 | 88.0177 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.7858 | 0.0584 | 181.1490 | <.0001 | |
| MOMS_HOMELESS_HISTOR | 1 | 1 | 0.7877 | 0.0840 | 88.0177 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOMS_HOMELESS_HISTOR 1 vs 0 | 2.198 | 1.865 | 2.591 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 35.5 | Somers' D | 0.193 |
| Percent Discordant | 16.1 | Gamma | 0.375 |
| Percent Tied | 48.4 | Tau-a | 0.093 |
| Pairs | 1451822 | c | 0.597 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1190 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 555 |
| 2 | 0 | 635 |
Probability modeled is APPROPRIATE_Testing=1.
71 observations were deleted due to missing values for the response or explanatory variables.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| EVER_IDU_HCV_MAT | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1646.308 | 1647.001 |
| SC | 1651.390 | 1662.246 |
| -2 Log L | 1644.308 | 1641.001 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 3.3074 | 2 | 0.1913 |
| Score | 3.3025 | 2 | 0.1918 |
| Wald | 3.2988 | 2 | 0.1922 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| EVER_IDU_HCV_MAT | 2 | 3.2988 | 0.1922 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2364 | 0.3454 | 0.4684 | 0.4937 | |
| EVER_IDU_HCV_MAT | 1 | 1 | 0.1884 | 0.3535 | 0.2842 | 0.5940 |
| EVER_IDU_HCV_MAT | 9 | 1 | -0.0291 | 0.3583 | 0.0066 | 0.9352 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| EVER_IDU_HCV_MAT 1 vs 0 | 1.207 | 0.604 | 2.414 |
| EVER_IDU_HCV_MAT 9 vs 0 | 0.971 | 0.481 | 1.960 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 27.8 | Somers' D | 0.052 |
| Percent Discordant | 22.6 | Gamma | 0.103 |
| Percent Tied | 49.6 | Tau-a | 0.026 |
| Pairs | 352425 | c | 0.526 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 1735 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 846 |
| 2 | 0 | 889 |
Probability modeled is APPROPRIATE_Testing=1.
728 observations were deleted due to missing values for the response or explanatory variables.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| EVER_IDU_HCV_MAT | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 2406.155 | 2399.669 |
| SC | 2411.614 | 2416.045 |
| -2 Log L | 2404.155 | 2393.669 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 10.4862 | 2 | 0.0053 |
| Score | 10.4601 | 2 | 0.0054 |
| Wald | 10.4218 | 2 | 0.0055 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| EVER_IDU_HCV_MAT | 2 | 10.4218 | 0.0055 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4187 | 0.2575 | 2.6436 | 0.1040 | |
| EVER_IDU_HCV_MAT | 1 | 1 | 0.4992 | 0.2652 | 3.5430 | 0.0598 |
| EVER_IDU_HCV_MAT | 9 | 1 | 0.2115 | 0.2688 | 0.6188 | 0.4315 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| EVER_IDU_HCV_MAT 1 vs 0 | 1.647 | 0.980 | 2.771 |
| EVER_IDU_HCV_MAT 9 vs 0 | 1.236 | 0.729 | 2.093 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 29.9 | Somers' D | 0.077 |
| Percent Discordant | 22.1 | Gamma | 0.149 |
| Percent Tied | 48.0 | Tau-a | 0.039 |
| Pairs | 752094 | c | 0.539 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MENTAL_HEALTH_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.346 |
| SC | 1742.037 | 1748.625 |
| -2 Log L | 1734.897 | 1734.346 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.5519 | 1 | 0.4576 |
| Score | 0.5484 | 1 | 0.4590 |
| Wald | 0.5471 | 1 | 0.4595 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MENTAL_HEALTH_DIAG | 1 | 0.5471 | 0.4595 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3727 | 0.2334 | 2.5493 | 0.1103 | |
| MENTAL_HEALTH_DIAG | 1 | 1 | 0.1780 | 0.2406 | 0.5471 | 0.4595 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MENTAL_HEALTH_DIAG 1 vs 0 | 1.195 | 0.746 | 1.915 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 6.1 | Somers' D | 0.010 |
| Percent Discordant | 5.1 | Gamma | 0.089 |
| Percent Tied | 88.8 | Tau-a | 0.005 |
| Pairs | 393370 | c | 0.505 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MENTAL_HEALTH_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3256.260 |
| SC | 3316.301 | 3267.878 |
| -2 Log L | 3308.492 | 3252.260 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 56.2319 | 1 | <.0001 |
| Score | 53.5902 | 1 | <.0001 |
| Wald | 51.7735 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MENTAL_HEALTH_DIAG | 1 | 51.7735 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.0986 | 0.1054 | 108.6254 | <.0001 | |
| MENTAL_HEALTH_DIAG | 1 | 1 | 0.8256 | 0.1147 | 51.7735 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MENTAL_HEALTH_DIAG 1 vs 0 | 2.283 | 1.823 | 2.859 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 21.3 | Somers' D | 0.119 |
| Percent Discordant | 9.3 | Gamma | 0.391 |
| Percent Tied | 69.4 | Tau-a | 0.057 |
| Pairs | 1451822 | c | 0.560 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| OTHER_SUBSTANCE_USE | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1736.582 |
| SC | 1742.037 | 1746.861 |
| -2 Log L | 1734.897 | 1732.582 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 2.3157 | 1 | 0.1281 |
| Score | 2.2980 | 1 | 0.1295 |
| Wald | 2.2903 | 1 | 0.1302 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| OTHER_SUBSTANCE_USE | 1 | 2.2903 | 0.1302 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4195 | 0.1528 | 7.5369 | 0.0060 | |
| OTHER_SUBSTANCE_USE | 1 | 1 | 0.2490 | 0.1645 | 2.2903 | 0.1302 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| OTHER_SUBSTANCE_USE 1 vs 0 | 1.283 | 0.929 | 1.771 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 13.6 | Somers' D | 0.030 |
| Percent Discordant | 10.6 | Gamma | 0.124 |
| Percent Tied | 75.8 | Tau-a | 0.015 |
| Pairs | 393370 | c | 0.515 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| OTHER_SUBSTANCE_USE | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3174.706 |
| SC | 3316.301 | 3186.324 |
| -2 Log L | 3308.492 | 3170.706 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 137.7864 | 1 | <.0001 |
| Score | 132.8248 | 1 | <.0001 |
| Wald | 127.9678 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| OTHER_SUBSTANCE_USE | 1 | 127.9678 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.1373 | 0.0791 | 206.6684 | <.0001 | |
| OTHER_SUBSTANCE_USE | 1 | 1 | 1.0595 | 0.0937 | 127.9678 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| OTHER_SUBSTANCE_USE 1 vs 0 | 2.885 | 2.401 | 3.466 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 34.7 | Somers' D | 0.227 |
| Percent Discordant | 12.0 | Gamma | 0.485 |
| Percent Tied | 53.2 | Tau-a | 0.109 |
| Pairs | 1451822 | c | 0.613 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MATINF_HEPB | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.813 |
| SC | 1742.037 | 1749.092 |
| -2 Log L | 1734.897 | 1734.813 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.0847 | 1 | 0.7710 |
| Score | 0.0851 | 1 | 0.7704 |
| Wald | 0.0860 | 1 | 0.7693 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MATINF_HEPB | 1 | 0.0860 | 0.7693 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2066 | 0.0568 | 13.2338 | 0.0003 | |
| MATINF_HEPB | 1 | 1 | 0.2081 | 0.7094 | 0.0860 | 0.7693 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MATINF_HEPB 1 vs 0 | 1.231 | 0.307 | 4.945 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 0.7 | Somers' D | 0.001 |
| Percent Discordant | 0.6 | Gamma | 0.103 |
| Percent Tied | 98.7 | Tau-a | 0.001 |
| Pairs | 393370 | c | 0.501 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MATINF_HEPB | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3310.606 |
| SC | 3316.301 | 3322.224 |
| -2 Log L | 3308.492 | 3306.606 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.8862 | 1 | 0.1696 |
| Score | 1.8047 | 1 | 0.1791 |
| Wald | 1.7634 | 1 | 0.1842 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MATINF_HEPB | 1 | 1.7634 | 0.1842 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.4130 | 0.0414 | 99.3712 | <.0001 | |
| MATINF_HEPB | 1 | 1 | -0.5250 | 0.3953 | 1.7634 | 0.1842 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MATINF_HEPB 1 vs 0 | 0.592 | 0.273 | 1.284 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 1.5 | Somers' D | 0.006 |
| Percent Discordant | 0.9 | Gamma | 0.257 |
| Percent Tied | 97.6 | Tau-a | 0.003 |
| Pairs | 1451822 | c | 0.503 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOUD_DURING_PREG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1731.048 |
| SC | 1742.037 | 1741.328 |
| -2 Log L | 1734.897 | 1727.048 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 7.8491 | 1 | 0.0051 |
| Score | 7.7653 | 1 | 0.0053 |
| Wald | 7.7141 | 1 | 0.0055 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOUD_DURING_PREG | 1 | 7.7141 | 0.0055 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.5148 | 0.1258 | 16.7523 | <.0001 | |
| MOUD_DURING_PREG | 1 | 1 | 0.3915 | 0.1410 | 7.7141 | 0.0055 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOUD_DURING_PREG 1 vs 0 | 1.479 | 1.122 | 1.950 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 20.0 | Somers' D | 0.065 |
| Percent Discordant | 13.5 | Gamma | 0.193 |
| Percent Tied | 66.5 | Tau-a | 0.032 |
| Pairs | 393370 | c | 0.532 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOUD_DURING_PREG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3205.772 |
| SC | 3316.301 | 3217.390 |
| -2 Log L | 3308.492 | 3201.772 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 106.7202 | 1 | <.0001 |
| Score | 107.1333 | 1 | <.0001 |
| Wald | 105.1184 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOUD_DURING_PREG | 1 | 105.1184 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.7736 | 0.0553 | 195.3645 | <.0001 | |
| MOUD_DURING_PREG | 1 | 1 | 0.8745 | 0.0853 | 105.1184 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOUD_DURING_PREG 1 vs 0 | 2.398 | 2.029 | 2.834 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 35.6 | Somers' D | 0.208 |
| Percent Discordant | 14.9 | Gamma | 0.411 |
| Percent Tied | 49.5 | Tau-a | 0.099 |
| Pairs | 1451822 | c | 0.604 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOUD_AT_DELIVERY | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1737.630 |
| SC | 1742.037 | 1747.909 |
| -2 Log L | 1734.897 | 1733.630 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.2675 | 1 | 0.2602 |
| Score | 1.2643 | 1 | 0.2608 |
| Wald | 1.2634 | 1 | 0.2610 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOUD_AT_DELIVERY | 1 | 1.2634 | 0.2610 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3097 | 0.1090 | 8.0773 | 0.0045 | |
| MOUD_AT_DELIVERY | 1 | 1 | 0.1434 | 0.1276 | 1.2634 | 0.2610 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOUD_AT_DELIVERY 1 vs 0 | 1.154 | 0.899 | 1.482 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 21.2 | Somers' D | 0.028 |
| Percent Discordant | 18.4 | Gamma | 0.072 |
| Percent Tied | 60.3 | Tau-a | 0.014 |
| Pairs | 393370 | c | 0.514 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOUD_AT_DELIVERY | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3230.857 |
| SC | 3316.301 | 3242.475 |
| -2 Log L | 3308.492 | 3226.857 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 81.6350 | 1 | <.0001 |
| Score | 82.4601 | 1 | <.0001 |
| Wald | 80.9906 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOUD_AT_DELIVERY | 1 | 80.9906 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.6860 | 0.0519 | 174.9322 | <.0001 | |
| MOUD_AT_DELIVERY | 1 | 1 | 0.7918 | 0.0880 | 80.9906 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOUD_AT_DELIVERY 1 vs 0 | 2.207 | 1.858 | 2.623 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 32.0 | Somers' D | 0.175 |
| Percent Discordant | 14.5 | Gamma | 0.376 |
| Percent Tied | 53.6 | Tau-a | 0.084 |
| Pairs | 1451822 | c | 0.587 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| OUD_CAPTURE | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.801 |
| SC | 1742.037 | 1749.080 |
| -2 Log L | 1734.897 | 1734.801 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.0967 | 1 | 0.7558 |
| Score | 0.0966 | 1 | 0.7559 |
| Wald | 0.0964 | 1 | 0.7561 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| OUD_CAPTURE | 1 | 0.0964 | 0.7561 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2331 | 0.1058 | 4.8492 | 0.0277 | |
| OUD_CAPTURE | 1 | 1 | 0.0389 | 0.1253 | 0.0964 | 0.7561 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| OUD_CAPTURE 1 vs 0 | 1.040 | 0.813 | 1.329 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 20.8 | Somers' D | 0.008 |
| Percent Discordant | 20.1 | Gamma | 0.019 |
| Percent Tied | 59.1 | Tau-a | 0.004 |
| Pairs | 393370 | c | 0.504 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| OUD_CAPTURE | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3194.971 |
| SC | 3316.301 | 3206.589 |
| -2 Log L | 3308.492 | 3190.971 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 117.5211 | 1 | <.0001 |
| Score | 116.0873 | 1 | <.0001 |
| Wald | 113.7170 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| OUD_CAPTURE | 1 | 113.7170 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.9155 | 0.0645 | 201.7234 | <.0001 | |
| OUD_CAPTURE | 1 | 1 | 0.9092 | 0.0853 | 113.7170 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| OUD_CAPTURE 1 vs 0 | 2.482 | 2.100 | 2.934 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 37.1 | Somers' D | 0.222 |
| Percent Discordant | 14.9 | Gamma | 0.426 |
| Percent Tied | 47.9 | Tau-a | 0.106 |
| Pairs | 1451822 | c | 0.611 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| IJI_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1737.699 |
| SC | 1742.037 | 1747.978 |
| -2 Log L | 1734.897 | 1733.699 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 1.1989 | 1 | 0.2735 |
| Score | 1.2004 | 1 | 0.2733 |
| Wald | 1.1998 | 1 | 0.2734 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| IJI_DIAG | 1 | 1.1998 | 0.2734 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2495 | 0.0696 | 12.8402 | 0.0003 | |
| IJI_DIAG | 1 | 1 | 0.1312 | 0.1197 | 1.1998 | 0.2734 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| IJI_DIAG 1 vs 0 | 1.140 | 0.902 | 1.442 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 23.8 | Somers' D | 0.029 |
| Percent Discordant | 20.9 | Gamma | 0.065 |
| Percent Tied | 55.3 | Tau-a | 0.015 |
| Pairs | 393370 | c | 0.515 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| IJI_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3278.009 |
| SC | 3316.301 | 3289.627 |
| -2 Log L | 3308.492 | 3274.009 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 34.4830 | 1 | <.0001 |
| Score | 34.9847 | 1 | <.0001 |
| Wald | 34.5640 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| IJI_DIAG | 1 | 34.5640 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.5567 | 0.0479 | 135.1461 | <.0001 | |
| IJI_DIAG | 1 | 1 | 0.5636 | 0.0959 | 34.5640 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| IJI_DIAG 1 vs 0 | 1.757 | 1.456 | 2.120 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 24.0 | Somers' D | 0.103 |
| Percent Discordant | 13.7 | Gamma | 0.275 |
| Percent Tied | 62.4 | Tau-a | 0.049 |
| Pairs | 1451822 | c | 0.552 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| EVER_INCARCERATED | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.722 |
| SC | 1742.037 | 1749.002 |
| -2 Log L | 1734.897 | 1734.722 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.1750 | 1 | 0.6757 |
| Score | 0.1750 | 1 | 0.6757 |
| Wald | 0.1750 | 1 | 0.6757 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| EVER_INCARCERATED | 1 | 0.1750 | 0.6757 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2279 | 0.0783 | 8.4711 | 0.0036 | |
| EVER_INCARCERATED | 1 | 1 | 0.0474 | 0.1134 | 0.1750 | 0.6757 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| EVER_INCARCERATED 1 vs 0 | 1.049 | 0.840 | 1.309 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 25.5 | Somers' D | 0.012 |
| Percent Discordant | 24.4 | Gamma | 0.024 |
| Percent Tied | 50.1 | Tau-a | 0.006 |
| Pairs | 393370 | c | 0.506 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| EVER_INCARCERATED | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3283.705 |
| SC | 3316.301 | 3295.323 |
| -2 Log L | 3308.492 | 3279.705 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 28.7872 | 1 | <.0001 |
| Score | 29.0445 | 1 | <.0001 |
| Wald | 28.8467 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| EVER_INCARCERATED | 1 | 28.8467 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.5710 | 0.0505 | 127.6963 | <.0001 | |
| EVER_INCARCERATED | 1 | 1 | 0.4742 | 0.0883 | 28.8467 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| EVER_INCARCERATED 1 vs 0 | 1.607 | 1.351 | 1.910 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 27.2 | Somers' D | 0.103 |
| Percent Discordant | 16.9 | Gamma | 0.233 |
| Percent Tied | 55.9 | Tau-a | 0.049 |
| Pairs | 1451822 | c | 0.551 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MATINF_HEPC | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1726.864 |
| SC | 1742.037 | 1737.143 |
| -2 Log L | 1734.897 | 1722.864 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 12.0336 | 1 | 0.0005 |
| Score | 11.9295 | 1 | 0.0006 |
| Wald | 11.8574 | 1 | 0.0006 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MATINF_HEPC | 1 | 11.8574 | 0.0006 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.5094 | 0.1058 | 23.1815 | <.0001 | |
| MATINF_HEPC | 1 | 1 | 0.4321 | 0.1255 | 11.8574 | 0.0006 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MATINF_HEPC 1 vs 0 | 1.541 | 1.205 | 1.970 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 25.6 | Somers' D | 0.090 |
| Percent Discordant | 16.6 | Gamma | 0.213 |
| Percent Tied | 57.8 | Tau-a | 0.044 |
| Pairs | 393370 | c | 0.545 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MATINF_HEPC | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3170.469 |
| SC | 3316.301 | 3182.087 |
| -2 Log L | 3308.492 | 3166.469 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 142.0229 | 1 | <.0001 |
| Score | 140.4696 | 1 | <.0001 |
| Wald | 137.1819 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MATINF_HEPC | 1 | 137.1819 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.9413 | 0.0632 | 221.7915 | <.0001 | |
| MATINF_HEPC | 1 | 1 | 0.9985 | 0.0853 | 137.1819 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MATINF_HEPC 1 vs 0 | 2.714 | 2.297 | 3.208 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 38.6 | Somers' D | 0.244 |
| Percent Discordant | 14.2 | Gamma | 0.462 |
| Percent Tied | 47.1 | Tau-a | 0.117 |
| Pairs | 1451822 | c | 0.622 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOM_DISEASE_STATUS_HCV | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1728.835 |
| SC | 1742.037 | 1739.114 |
| -2 Log L | 1734.897 | 1724.835 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 10.0623 | 1 | 0.0015 |
| Score | 9.8698 | 1 | 0.0017 |
| Wald | 9.7245 | 1 | 0.0018 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOM_DISEASE_STATUS_H | 1 | 9.7245 | 0.0018 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1320 | 0.0611 | 4.6738 | 0.0306 | |
| MOM_DISEASE_STATUS_H | 2 | 1 | -0.5206 | 0.1669 | 9.7245 | 0.0018 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOM_DISEASE_STATUS_H 2 vs 1 | 0.594 | 0.428 | 0.824 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 15.5 | Somers' D | 0.063 |
| Percent Discordant | 9.2 | Gamma | 0.255 |
| Percent Tied | 75.3 | Tau-a | 0.031 |
| Pairs | 393370 | c | 0.531 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| MOM_DISEASE_STATUS_HCV | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3139.427 |
| SC | 3316.301 | 3151.046 |
| -2 Log L | 3308.492 | 3135.427 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 173.0646 | 1 | <.0001 |
| Score | 158.7474 | 1 | <.0001 |
| Wald | 143.3838 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOM_DISEASE_STATUS_H | 1 | 143.3838 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1391 | 0.0462 | 9.0797 | 0.0026 | |
| MOM_DISEASE_STATUS_H | 2 | 1 | -1.4333 | 0.1197 | 143.3838 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOM_DISEASE_STATUS_H 2 vs 1 | 0.239 | 0.189 | 0.302 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.8 | Somers' D | 0.220 |
| Percent Discordant | 6.9 | Gamma | 0.615 |
| Percent Tied | 64.3 | Tau-a | 0.105 |
| Pairs | 1451822 | c | 0.610 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| HCV_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1722.849 |
| SC | 1742.037 | 1733.129 |
| -2 Log L | 1734.897 | 1718.849 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 16.0481 | 1 | <.0001 |
| Score | 15.4909 | 1 | <.0001 |
| Wald | 14.9457 | 1 | 0.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| HCV_DIAG | 1 | 14.9457 | 0.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.8811 | 0.1857 | 22.5137 | <.0001 | |
| HCV_DIAG | 1 | 1 | 0.7543 | 0.1951 | 14.9457 | 0.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| HCV_DIAG 1 vs 0 | 2.126 | 1.450 | 3.116 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 13.2 | Somers' D | 0.070 |
| Percent Discordant | 6.2 | Gamma | 0.360 |
| Percent Tied | 80.6 | Tau-a | 0.035 |
| Pairs | 393370 | c | 0.535 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| HCV_DIAG | 0 | 0 |
| 1 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 2951.074 |
| SC | 3316.301 | 2962.692 |
| -2 Log L | 3308.492 | 2947.074 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 361.4181 | 1 | <.0001 |
| Score | 308.4983 | 1 | <.0001 |
| Wald | 227.8826 | 1 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| HCV_DIAG | 1 | 227.8826 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -2.3665 | 0.1479 | 256.0006 | <.0001 | |
| HCV_DIAG | 1 | 1 | 2.3388 | 0.1549 | 227.8826 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| HCV_DIAG 1 vs 0 | 10.369 | 7.653 | 14.048 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 34.0 | Somers' D | 0.308 |
| Percent Discordant | 3.3 | Gamma | 0.824 |
| Percent Tied | 62.7 | Tau-a | 0.147 |
| Pairs | 1451822 | c | 0.654 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||
|---|---|---|---|---|
| Class | Value | Design Variables | ||
| AGE_BIRTH_GROUP | 19-25 | 1 | 0 | 0 |
| 26-35 | 0 | 0 | 0 | |
| <=18 | 0 | 1 | 0 | |
| >35 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1733.731 |
| SC | 1742.037 | 1754.290 |
| -2 Log L | 1734.897 | 1725.731 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 9.1661 | 3 | 0.0272 |
| Score | 9.1049 | 3 | 0.0279 |
| Wald | 9.0149 | 3 | 0.0291 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| AGE_BIRTH_GROUP | 3 | 9.0149 | 0.0291 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2488 | 0.0702 | 12.5613 | 0.0004 | |
| AGE_BIRTH_GROUP | 19-25 | 1 | 0.2864 | 0.1320 | 4.7033 | 0.0301 |
| AGE_BIRTH_GROUP | <=18 | 1 | -0.6669 | 0.8395 | 0.6311 | 0.4270 |
| AGE_BIRTH_GROUP | >35 | 1 | -0.3108 | 0.2103 | 2.1840 | 0.1394 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| AGE_BIRTH_GROUP 19-25 vs 26-35 | 1.332 | 1.028 | 1.725 |
| AGE_BIRTH_GROUP <=18 vs 26-35 | 0.513 | 0.099 | 2.660 |
| AGE_BIRTH_GROUP >35 vs 26-35 | 0.733 | 0.485 | 1.107 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 29.2 | Somers' D | 0.082 |
| Percent Discordant | 21.1 | Gamma | 0.162 |
| Percent Tied | 49.7 | Tau-a | 0.040 |
| Pairs | 393370 | c | 0.541 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||
|---|---|---|---|---|
| Class | Value | Design Variables | ||
| AGE_BIRTH_GROUP | 19-25 | 1 | 0 | 0 |
| 26-35 | 0 | 0 | 0 | |
| <=18 | 0 | 1 | 0 | |
| >35 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3301.474 |
| SC | 3316.301 | 3324.710 |
| -2 Log L | 3308.492 | 3293.474 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 15.0185 | 3 | 0.0018 |
| Score | 14.3810 | 3 | 0.0024 |
| Wald | 14.0021 | 3 | 0.0029 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| AGE_BIRTH_GROUP | 3 | 14.0021 | 0.0029 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3628 | 0.0516 | 49.5131 | <.0001 | |
| AGE_BIRTH_GROUP | 19-25 | 1 | -0.00999 | 0.0958 | 0.0109 | 0.9169 |
| AGE_BIRTH_GROUP | <=18 | 1 | -1.1413 | 0.7834 | 2.1222 | 0.1452 |
| AGE_BIRTH_GROUP | >35 | 1 | -0.4955 | 0.1446 | 11.7380 | 0.0006 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| AGE_BIRTH_GROUP 19-25 vs 26-35 | 0.990 | 0.821 | 1.195 |
| AGE_BIRTH_GROUP <=18 vs 26-35 | 0.319 | 0.069 | 1.483 |
| AGE_BIRTH_GROUP >35 vs 26-35 | 0.609 | 0.459 | 0.809 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.5 | Somers' D | 0.050 |
| Percent Discordant | 23.5 | Gamma | 0.096 |
| Percent Tied | 48.0 | Tau-a | 0.024 |
| Pairs | 1451822 | c | 0.525 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||
|---|---|---|---|---|
| Class | Value | Design Variables | ||
| LANGUAGE_SPOKEN_GROUP | English | 0 | 0 | 0 |
| Other | 1 | 0 | 0 | |
| Refused or Unknown | 0 | 1 | 0 | |
| Spanish | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1739.994 |
| SC | 1742.037 | 1760.552 |
| -2 Log L | 1734.897 | 1731.994 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 2.9037 | 3 | 0.4067 |
| Score | 2.6431 | 3 | 0.4500 |
| Wald | 2.3122 | 3 | 0.5102 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LANGUAGE_SPOKEN_GROU | 3 | 2.3122 | 0.5102 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1965 | 0.0569 | 11.9071 | 0.0006 | |
| LANGUAGE_SPOKEN_GROU | Other | 1 | -0.9022 | 1.1561 | 0.6089 | 0.4352 |
| LANGUAGE_SPOKEN_GROU | Refused or Unknown | 1 | -0.2090 | 0.9146 | 0.0522 | 0.8192 |
| LANGUAGE_SPOKEN_GROU | Spanish | 1 | -1.4128 | 1.0969 | 1.6591 | 0.1977 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LANGUAGE_SPOKEN_GROU Other vs English | 0.406 | 0.042 | 3.911 |
| LANGUAGE_SPOKEN_GROU Refused or Unknown vs English | 0.811 | 0.135 | 4.873 |
| LANGUAGE_SPOKEN_GROU Spanish vs English | 0.243 | 0.028 | 2.090 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 1.6 | Somers' D | 0.009 |
| Percent Discordant | 0.7 | Gamma | 0.386 |
| Percent Tied | 97.7 | Tau-a | 0.004 |
| Pairs | 393370 | c | 0.504 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||
|---|---|---|---|---|
| Class | Value | Design Variables | ||
| LANGUAGE_SPOKEN_GROUP | English | 0 | 0 | 0 |
| Other | 1 | 0 | 0 | |
| Refused or Unknown | 0 | 1 | 0 | |
| Spanish | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3300.461 |
| SC | 3316.301 | 3323.697 |
| -2 Log L | 3308.492 | 3292.461 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 16.0313 | 3 | 0.0011 |
| Score | 14.2772 | 3 | 0.0026 |
| Wald | 12.6623 | 3 | 0.0054 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LANGUAGE_SPOKEN_GROU | 3 | 12.6623 | 0.0054 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.3921 | 0.0419 | 87.7276 | <.0001 | |
| LANGUAGE_SPOKEN_GROU | Other | 1 | -1.4791 | 0.5386 | 7.5417 | 0.0060 |
| LANGUAGE_SPOKEN_GROU | Refused or Unknown | 1 | 0.1690 | 0.6721 | 0.0632 | 0.8015 |
| LANGUAGE_SPOKEN_GROU | Spanish | 1 | -0.7318 | 0.3220 | 5.1655 | 0.0230 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LANGUAGE_SPOKEN_GROU Other vs English | 0.228 | 0.079 | 0.655 |
| LANGUAGE_SPOKEN_GROU Refused or Unknown vs English | 1.184 | 0.317 | 4.421 |
| LANGUAGE_SPOKEN_GROU Spanish vs English | 0.481 | 0.256 | 0.904 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 4.8 | Somers' D | 0.028 |
| Percent Discordant | 2.0 | Gamma | 0.409 |
| Percent Tied | 93.2 | Tau-a | 0.013 |
| Pairs | 1451822 | c | 0.514 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| MOTHER_EDU_GROUP | Associate or Bachelor | 1 | 0 | 0 | 0 |
| HS or GED | 0 | 0 | 0 | 0 | |
| No HS | 0 | 1 | 0 | 0 | |
| Other or Unknown | 0 | 0 | 1 | 0 | |
| Post graduate | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1738.942 |
| SC | 1742.037 | 1764.640 |
| -2 Log L | 1734.897 | 1728.942 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 5.9554 | 4 | 0.2025 |
| Score | 5.8330 | 4 | 0.2120 |
| Wald | 5.7124 | 4 | 0.2217 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOTHER_EDU_GROUP | 4 | 5.7124 | 0.2217 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2138 | 0.0919 | 5.4094 | 0.0200 | |
| MOTHER_EDU_GROUP | Associate or Bachelor | 1 | -0.3542 | 0.2335 | 2.3011 | 0.1293 |
| MOTHER_EDU_GROUP | No HS | 1 | -0.0231 | 0.1545 | 0.0223 | 0.8812 |
| MOTHER_EDU_GROUP | Other or Unknown | 1 | 0.1322 | 0.1344 | 0.9676 | 0.3253 |
| MOTHER_EDU_GROUP | Post graduate | 1 | -0.8830 | 0.8213 | 1.1559 | 0.2823 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOTHER_EDU_GROUP Associate or Bachelor vs HS or GED | 0.702 | 0.444 | 1.109 |
| MOTHER_EDU_GROUP No HS vs HS or GED | 0.977 | 0.722 | 1.323 |
| MOTHER_EDU_GROUP Other or Unknown vs HS or GED | 1.141 | 0.877 | 1.485 |
| MOTHER_EDU_GROUP Post graduate vs HS or GED | 0.414 | 0.083 | 2.068 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 37.9 | Somers' D | 0.061 |
| Percent Discordant | 31.8 | Gamma | 0.087 |
| Percent Tied | 30.3 | Tau-a | 0.030 |
| Pairs | 393370 | c | 0.530 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| MOTHER_EDU_GROUP | Associate or Bachelor | 1 | 0 | 0 | 0 |
| HS or GED | 0 | 0 | 0 | 0 | |
| No HS | 0 | 1 | 0 | 0 | |
| Other or Unknown | 0 | 0 | 1 | 0 | |
| Post graduate | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3249.266 |
| SC | 3316.301 | 3278.312 |
| -2 Log L | 3308.492 | 3239.266 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 69.2260 | 4 | <.0001 |
| Score | 60.1146 | 4 | <.0001 |
| Wald | 49.4596 | 4 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| MOTHER_EDU_GROUP | 4 | 49.4596 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2220 | 0.0709 | 9.7994 | 0.0017 | |
| MOTHER_EDU_GROUP | Associate or Bachelor | 1 | -0.6160 | 0.1429 | 18.5704 | <.0001 |
| MOTHER_EDU_GROUP | No HS | 1 | -0.1346 | 0.1268 | 1.1283 | 0.2881 |
| MOTHER_EDU_GROUP | Other or Unknown | 1 | -0.1238 | 0.0987 | 1.5756 | 0.2094 |
| MOTHER_EDU_GROUP | Post graduate | 1 | -2.0916 | 0.3566 | 34.4120 | <.0001 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| MOTHER_EDU_GROUP Associate or Bachelor vs HS or GED | 0.540 | 0.408 | 0.715 |
| MOTHER_EDU_GROUP No HS vs HS or GED | 0.874 | 0.682 | 1.121 |
| MOTHER_EDU_GROUP Other or Unknown vs HS or GED | 0.884 | 0.728 | 1.072 |
| MOTHER_EDU_GROUP Post graduate vs HS or GED | 0.123 | 0.061 | 0.248 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 42.6 | Somers' D | 0.128 |
| Percent Discordant | 29.8 | Gamma | 0.177 |
| Percent Tied | 27.6 | Tau-a | 0.061 |
| Pairs | 1451822 | c | 0.564 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| LD_PAY | 1 | 0 | 0 |
| 2 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1736.864 |
| SC | 1742.037 | 1752.283 |
| -2 Log L | 1734.897 | 1730.864 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 4.0330 | 2 | 0.1331 |
| Score | 3.9985 | 2 | 0.1354 |
| Wald | 3.9706 | 2 | 0.1373 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LD_PAY | 2 | 3.9706 | 0.1373 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.1642 | 0.0612 | 7.1942 | 0.0073 | |
| LD_PAY | 2 | 1 | -0.3112 | 0.1651 | 3.5533 | 0.0594 |
| LD_PAY | 9 | 1 | 0.4519 | 0.7662 | 0.3479 | 0.5553 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LD_PAY 2 vs 1 | 0.733 | 0.530 | 1.012 |
| LD_PAY 9 vs 1 | 1.571 | 0.350 | 7.055 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 14.6 | Somers' D | 0.040 |
| Percent Discordant | 10.6 | Gamma | 0.158 |
| Percent Tied | 74.8 | Tau-a | 0.020 |
| Pairs | 393370 | c | 0.520 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| LD_PAY | 1 | 0 | 0 |
| 2 | 1 | 0 | |
| 9 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3248.867 |
| SC | 3316.301 | 3266.295 |
| -2 Log L | 3308.492 | 3242.867 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 65.6247 | 2 | <.0001 |
| Score | 63.1789 | 2 | <.0001 |
| Wald | 61.4855 | 2 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LD_PAY | 2 | 61.4855 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2310 | 0.0471 | 24.0440 | <.0001 | |
| LD_PAY | 2 | 1 | -0.8007 | 0.1022 | 61.4152 | <.0001 |
| LD_PAY | 9 | 1 | 0.00789 | 0.6725 | 0.0001 | 0.9906 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LD_PAY 2 vs 1 | 0.449 | 0.368 | 0.549 |
| LD_PAY 9 vs 1 | 1.008 | 0.270 | 3.766 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 26.2 | Somers' D | 0.143 |
| Percent Discordant | 11.9 | Gamma | 0.375 |
| Percent Tied | 61.9 | Tau-a | 0.068 |
| Pairs | 1451822 | c | 0.571 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| KOTELCHUCK | 0 | 1 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 | |
| 2 | 0 | 0 | 1 | 0 | |
| 3 | 0 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1742.658 |
| SC | 1742.037 | 1768.356 |
| -2 Log L | 1734.897 | 1732.658 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 2.2395 | 4 | 0.6918 |
| Score | 2.2372 | 4 | 0.6922 |
| Wald | 2.2338 | 4 | 0.6929 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| KOTELCHUCK | 4 | 2.2338 | 0.6929 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2231 | 0.1205 | 3.4302 | 0.0640 | |
| KOTELCHUCK | 0 | 1 | -0.1823 | 0.2804 | 0.4228 | 0.5155 |
| KOTELCHUCK | 1 | 1 | 0.1242 | 0.1548 | 0.6445 | 0.4221 |
| KOTELCHUCK | 2 | 1 | -0.0460 | 0.2011 | 0.0523 | 0.8192 |
| KOTELCHUCK | 4 | 1 | -0.0350 | 0.1633 | 0.0459 | 0.8303 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| KOTELCHUCK 0 vs 3 | 0.833 | 0.481 | 1.444 |
| KOTELCHUCK 1 vs 3 | 1.132 | 0.836 | 1.534 |
| KOTELCHUCK 2 vs 3 | 0.955 | 0.644 | 1.417 |
| KOTELCHUCK 4 vs 3 | 0.966 | 0.701 | 1.330 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 39.7 | Somers' D | 0.045 |
| Percent Discordant | 35.2 | Gamma | 0.060 |
| Percent Tied | 25.1 | Tau-a | 0.022 |
| Pairs | 393370 | c | 0.522 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| KOTELCHUCK | 0 | 1 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 | |
| 2 | 0 | 0 | 1 | 0 | |
| 3 | 0 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3270.479 |
| SC | 3316.301 | 3299.525 |
| -2 Log L | 3308.492 | 3260.479 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 48.0127 | 4 | <.0001 |
| Score | 48.6863 | 4 | <.0001 |
| Wald | 47.9450 | 4 | <.0001 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| KOTELCHUCK | 4 | 47.9450 | <.0001 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.6252 | 0.0749 | 69.7632 | <.0001 | |
| KOTELCHUCK | 0 | 1 | 0.7760 | 0.2210 | 12.3249 | 0.0004 |
| KOTELCHUCK | 1 | 1 | 0.6626 | 0.1144 | 33.5295 | <.0001 |
| KOTELCHUCK | 2 | 1 | 0.0798 | 0.1515 | 0.2774 | 0.5984 |
| KOTELCHUCK | 4 | 1 | 0.0567 | 0.1049 | 0.2927 | 0.5885 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| KOTELCHUCK 0 vs 3 | 2.173 | 1.409 | 3.351 |
| KOTELCHUCK 1 vs 3 | 1.940 | 1.550 | 2.428 |
| KOTELCHUCK 2 vs 3 | 1.083 | 0.805 | 1.458 |
| KOTELCHUCK 4 vs 3 | 1.058 | 0.862 | 1.300 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 43.7 | Somers' D | 0.134 |
| Percent Discordant | 30.3 | Gamma | 0.181 |
| Percent Tied | 25.9 | Tau-a | 0.064 |
| Pairs | 1451822 | c | 0.567 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 1261 |
|---|---|
| Number of Observations Used | 1261 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 566 |
| 2 | 0 | 695 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| PRENAT_SITE | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 1736.897 | 1742.240 |
| SC | 1742.037 | 1773.078 |
| -2 Log L | 1734.897 | 1730.240 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 4.6576 | 5 | 0.4591 |
| Score | 4.5864 | 5 | 0.4684 |
| Wald | 4.5166 | 5 | 0.4777 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| PRENAT_SITE | 5 | 4.5166 | 0.4777 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.2145 | 0.0744 | 8.3024 | 0.0040 | |
| PRENAT_SITE | 2 | 1 | 0.0402 | 0.2222 | 0.0327 | 0.8565 |
| PRENAT_SITE | 3 | 1 | -0.0219 | 0.3533 | 0.0038 | 0.9506 |
| PRENAT_SITE | 4 | 1 | 0.0894 | 0.1345 | 0.4413 | 0.5065 |
| PRENAT_SITE | 5 | 1 | 0.4152 | 0.4556 | 0.8305 | 0.3621 |
| PRENAT_SITE | 9 | 1 | -0.4556 | 0.2725 | 2.7953 | 0.0945 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| PRENAT_SITE 2 vs 1 | 1.041 | 0.674 | 1.609 |
| PRENAT_SITE 3 vs 1 | 0.978 | 0.489 | 1.955 |
| PRENAT_SITE 4 vs 1 | 1.093 | 0.840 | 1.423 |
| PRENAT_SITE 5 vs 1 | 1.515 | 0.620 | 3.699 |
| PRENAT_SITE 9 vs 1 | 0.634 | 0.372 | 1.082 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 31.9 | Somers' D | 0.046 |
| Percent Discordant | 27.3 | Gamma | 0.077 |
| Percent Tied | 40.8 | Tau-a | 0.023 |
| Pairs | 393370 | c | 0.523 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.FINAL_INFANT_COHORT_COV |
| Response Variable | APPROPRIATE_Testing |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 2463 |
|---|---|
| Number of Observations Used | 2463 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
APPROPRIATE_Testing | Total Frequency |
| 1 | 1 | 977 |
| 2 | 0 | 1486 |
Probability modeled is APPROPRIATE_Testing=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| PRENAT_SITE | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 3310.492 | 3298.382 |
| SC | 3316.301 | 3333.237 |
| -2 Log L | 3308.492 | 3286.382 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 22.1101 | 5 | 0.0005 |
| Score | 22.3190 | 5 | 0.0005 |
| Wald | 22.1680 | 5 | 0.0005 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| PRENAT_SITE | 5 | 22.1680 | 0.0005 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -0.5381 | 0.0504 | 113.8744 | <.0001 | |
| PRENAT_SITE | 2 | 1 | 0.3839 | 0.1570 | 5.9789 | 0.0145 |
| PRENAT_SITE | 3 | 1 | -0.1321 | 0.2669 | 0.2449 | 0.6207 |
| PRENAT_SITE | 4 | 1 | 0.4079 | 0.1047 | 15.1757 | <.0001 |
| PRENAT_SITE | 5 | 1 | 0.5381 | 0.5025 | 1.1464 | 0.2843 |
| PRENAT_SITE | 9 | 1 | 0.5987 | 0.3519 | 2.8936 | 0.0889 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| PRENAT_SITE 2 vs 1 | 1.468 | 1.079 | 1.997 |
| PRENAT_SITE 3 vs 1 | 0.876 | 0.519 | 1.479 |
| PRENAT_SITE 4 vs 1 | 1.504 | 1.225 | 1.846 |
| PRENAT_SITE 5 vs 1 | 1.713 | 0.640 | 4.586 |
| PRENAT_SITE 9 vs 1 | 1.820 | 0.913 | 3.627 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 29.3 | Somers' D | 0.090 |
| Percent Discordant | 20.3 | Gamma | 0.182 |
| Percent Tied | 50.3 | Tau-a | 0.043 |
| Pairs | 1451822 | c | 0.545 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.TRT_TESTING15 |
| Response Variable | DAA_START_INDICATOR |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 247 |
|---|---|
| Number of Observations Used | 247 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
DAA_START_INDICATOR | Total Frequency |
| 1 | 1 | 42 |
| 2 | 0 | 205 |
Probability modeled is DAA_START_INDICATOR=1.
| Class Level Information | ||
|---|---|---|
| Class | Value | Design Variables |
| final_sex | 1 | 0 |
| 2 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 227.239 | 229.021 |
| SC | 230.749 | 236.040 |
| -2 Log L | 225.239 | 225.021 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.2181 | 1 | 0.6405 |
| Score | 0.2170 | 1 | 0.6413 |
| Wald | 0.2167 | 1 | 0.6415 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_sex | 1 | 0.2167 | 0.6415 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.6776 | 0.2642 | 40.3150 | <.0001 | |
| final_sex | 2 | 1 | 0.1603 | 0.3444 | 0.2167 | 0.6415 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_sex 2 vs 1 | 1.174 | 0.598 | 2.305 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 26.4 | Somers' D | 0.039 |
| Percent Discordant | 22.5 | Gamma | 0.080 |
| Percent Tied | 51.1 | Tau-a | 0.011 |
| Pairs | 8610 | c | 0.520 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.TRT_TESTING15 |
| Response Variable | DAA_START_INDICATOR |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 247 |
|---|---|
| Number of Observations Used | 247 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
DAA_START_INDICATOR | Total Frequency |
| 1 | 1 | 42 |
| 2 | 0 | 205 |
Probability modeled is DAA_START_INDICATOR=1.
| Class Level Information | ||||||
|---|---|---|---|---|---|---|
| Class | Value | Design Variables | ||||
| final_re | 1 | 0 | 0 | 0 | 0 | 0 |
| 2 | 1 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 1 | 0 | 0 | 0 | |
| 4 | 0 | 0 | 1 | 0 | 0 | |
| 5 | 0 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Quasi-complete separation of data points detected. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 227.239 | 230.332 |
| SC | 230.749 | 251.388 |
| -2 Log L | 225.239 | 218.332 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 6.9075 | 5 | 0.2276 |
| Score | 4.3379 | 5 | 0.5019 |
| Wald | 0.7755 | 5 | 0.9786 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| final_re | 5 | 0.7755 | 0.9786 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.5333 | 0.2013 | 58.0083 | <.0001 | |
| final_re | 2 | 1 | 0.5217 | 0.6176 | 0.7135 | 0.3983 |
| final_re | 3 | 1 | -0.0762 | 1.1138 | 0.0047 | 0.9455 |
| final_re | 4 | 1 | -0.0472 | 0.4613 | 0.0105 | 0.9185 |
| final_re | 5 | 1 | -13.3517 | 473.4 | 0.0008 | 0.9775 |
| final_re | 9 | 1 | -13.3517 | 985.5 | 0.0002 | 0.9892 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| final_re 2 vs 1 | 1.685 | 0.502 | 5.653 |
| final_re 3 vs 1 | 0.927 | 0.104 | 8.222 |
| final_re 4 vs 1 | 0.954 | 0.386 | 2.356 |
| final_re 5 vs 1 | <0.001 | <0.001 | >999.999 |
| final_re 9 vs 1 | <0.001 | <0.001 | >999.999 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 30.1 | Somers' D | 0.119 |
| Percent Discordant | 18.2 | Gamma | 0.247 |
| Percent Tied | 51.8 | Tau-a | 0.034 |
| Pairs | 8610 | c | 0.560 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.TRT_TESTING15 |
| Response Variable | DAA_START_INDICATOR |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 247 |
|---|---|
| Number of Observations Used | 247 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
DAA_START_INDICATOR | Total Frequency |
| 1 | 1 | 42 |
| 2 | 0 | 205 |
Probability modeled is DAA_START_INDICATOR=1.
| Class Level Information | |||||
|---|---|---|---|---|---|
| Class | Value | Design Variables | |||
| LANGUAGE | 0 | 1 | 0 | 0 | 0 |
| 1 | 0 | 0 | 0 | 0 | |
| 2 | 0 | 1 | 0 | 0 | |
| 3 | 0 | 0 | 1 | 0 | |
| 9 | 0 | 0 | 0 | 1 | |
| Model Convergence Status |
|---|
| Quasi-complete separation of data points detected. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 227.239 | 226.722 |
| SC | 230.749 | 244.269 |
| -2 Log L | 225.239 | 216.722 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 8.5176 | 4 | 0.0744 |
| Score | 5.6660 | 4 | 0.2255 |
| Wald | 1.7881 | 4 | 0.7746 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| LANGUAGE | 4 | 1.7881 | 0.7746 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.3705 | 0.1980 | 47.9348 | <.0001 | |
| LANGUAGE | 0 | 1 | -13.5144 | 1707.0 | 0.0001 | 0.9937 |
| LANGUAGE | 2 | 1 | -13.5144 | 426.7 | 0.0010 | 0.9747 |
| LANGUAGE | 3 | 1 | 0.1178 | 0.8259 | 0.0203 | 0.8866 |
| LANGUAGE | 9 | 1 | -0.5573 | 0.4270 | 1.7033 | 0.1919 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| LANGUAGE 0 vs 1 | <0.001 | <0.001 | >999.999 |
| LANGUAGE 2 vs 1 | <0.001 | <0.001 | >999.999 |
| LANGUAGE 3 vs 1 | 1.125 | 0.223 | 5.677 |
| LANGUAGE 9 vs 1 | 0.573 | 0.248 | 1.323 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 32.9 | Somers' D | 0.180 |
| Percent Discordant | 15.0 | Gamma | 0.375 |
| Percent Tied | 52.1 | Tau-a | 0.051 |
| Pairs | 8610 | c | 0.590 |
The LOGISTIC Procedure
| Model Information | |
|---|---|
| Data Set | WORK.TRT_TESTING15 |
| Response Variable | DAA_START_INDICATOR |
| Number of Response Levels | 2 |
| Model | binary logit |
| Optimization Technique | Fisher's scoring |
| Number of Observations Read | 247 |
|---|---|
| Number of Observations Used | 247 |
| Response Profile | ||
|---|---|---|
| Ordered Value |
DAA_START_INDICATOR | Total Frequency |
| 1 | 1 | 42 |
| 2 | 0 | 205 |
Probability modeled is DAA_START_INDICATOR=1.
| Class Level Information | |||
|---|---|---|---|
| Class | Value | Design Variables | |
| foreign_born | 0 | 0 | 0 |
| 1 | 1 | 0 | |
| 8 | 0 | 1 | |
| Model Convergence Status |
|---|
| Convergence criterion (GCONV=1E-8) satisfied. |
| Model Fit Statistics | ||
|---|---|---|
| Criterion | Intercept Only | Intercept and Covariates |
| AIC | 227.239 | 231.010 |
| SC | 230.749 | 241.538 |
| -2 Log L | 225.239 | 225.010 |
| Testing Global Null Hypothesis: BETA=0 | |||
|---|---|---|---|
| Test | Chi-Square | DF | Pr > ChiSq |
| Likelihood Ratio | 0.2299 | 2 | 0.8914 |
| Score | 0.2212 | 2 | 0.8953 |
| Wald | 0.2194 | 2 | 0.8961 |
| Type 3 Analysis of Effects | |||
|---|---|---|---|
| Effect | DF | Wald Chi-Square |
Pr > ChiSq |
| foreign_born | 2 | 0.2194 | 0.8961 |
| Analysis of Maximum Likelihood Estimates | ||||||
|---|---|---|---|---|---|---|
| Parameter | DF | Estimate | Standard Error |
Wald Chi-Square |
Pr > ChiSq | |
| Intercept | 1 | -1.6292 | 0.2445 | 44.3855 | <.0001 | |
| foreign_born | 1 | 1 | -0.3160 | 1.0964 | 0.0831 | 0.7732 |
| foreign_born | 8 | 1 | 0.1094 | 0.3433 | 0.1016 | 0.7499 |
| Odds Ratio Estimates | |||
|---|---|---|---|
| Effect | Point Estimate | 95% Wald Confidence Limits |
|
| foreign_born 1 vs 0 | 0.729 | 0.085 | 6.252 |
| foreign_born 8 vs 0 | 1.116 | 0.569 | 2.186 |
| Association of Predicted Probabilities and Observed Responses | |||
|---|---|---|---|
| Percent Concordant | 28.2 | Somers' D | 0.036 |
| Percent Discordant | 24.6 | Gamma | 0.068 |
| Percent Tied | 47.2 | Tau-a | 0.010 |
| Pairs | 8610 | c | 0.518 |
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 1 of foreign_born by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 5.7303 | 0.0570 |
| Likelihood Ratio Chi-Square | 2 | 6.4145 | 0.0405 |
| Mantel-Haenszel Chi-Square | 1 | 4.6941 | 0.0303 |
| Phi Coefficient | 0.0426 | ||
| Contingency Coefficient | 0.0426 | ||
| Cramer's V | 0.0426 | ||
Sample Size = 3151
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 2 of foreign_born by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
Row or column sum zero. No statistics computed for this table.
Sample Size = 202
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 3 of foreign_born by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
Row or column sum zero. No statistics computed for this table.
Sample Size = 53
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 4 of foreign_born by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
Row or column sum zero. No statistics computed for this table.
Sample Size = 289
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 5 of foreign_born by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
Row or column sum zero. No statistics computed for this table.
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of county by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 13 | 162.7800 | <.0001 |
| Likelihood Ratio Chi-Square | 13 | 164.4840 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 2.4415 | 0.1182 |
| Phi Coefficient | 0.2273 | ||
| Contingency Coefficient | 0.2216 | ||
| Cramer's V | 0.2273 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of county by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
Row or column sum zero. No statistics computed for this table.
Sample Size = 202
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of county by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
Row or column sum zero. No statistics computed for this table.
Sample Size = 53
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 4 of county by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
Row or column sum zero. No statistics computed for this table.
Sample Size = 289
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 5 of county by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
Row or column sum zero. No statistics computed for this table.
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 3 | 1.1269 | 0.7706 |
| Likelihood Ratio Chi-Square | 3 | 1.1332 | 0.7691 |
| Mantel-Haenszel Chi-Square | 1 | 0.1915 | 0.6617 |
| Phi Coefficient | 0.0189 | ||
| Contingency Coefficient | 0.0189 | ||
| Cramer's V | 0.0189 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 0.6603 | 0.8825 |
| Likelihood Ratio Chi-Square | 3 | 0.6727 | 0.8796 |
| Mantel-Haenszel Chi-Square | 1 | 0.3829 | 0.5360 |
| Phi Coefficient | 0.0572 | ||
| Contingency Coefficient | 0.0571 | ||
| Cramer's V | 0.0572 | ||
Sample Size = 202
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
Row or column sum zero. No statistics computed for this table.
Sample Size = 53
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 4 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 2.5015 | 0.4750 |
| Likelihood Ratio Chi-Square | 3 | 2.5426 | 0.4676 |
| Mantel-Haenszel Chi-Square | 1 | 0.3290 | 0.5663 |
| Phi Coefficient | 0.0930 | ||
| Contingency Coefficient | 0.0926 | ||
| Cramer's V | 0.0930 | ||
Sample Size = 289
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 5 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
Row or column sum zero. No statistics computed for this table.
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 38% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 0.3914 | 0.9420 |
| Likelihood Ratio Chi-Square | 3 | 0.4071 | 0.9388 |
| Mantel-Haenszel Chi-Square | 1 | 0.0675 | 0.7951 |
| Phi Coefficient | 0.0111 | ||
| Contingency Coefficient | 0.0111 | ||
| Cramer's V | 0.0111 | ||
Sample Size = 3151
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 1.2390 | 0.7437 |
| Likelihood Ratio Chi-Square | 3 | 1.3679 | 0.7131 |
| Mantel-Haenszel Chi-Square | 1 | 0.0921 | 0.7615 |
| Phi Coefficient | 0.0783 | ||
| Contingency Coefficient | 0.0781 | ||
| Cramer's V | 0.0783 | ||
Sample Size = 202
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
Row or column sum zero. No statistics computed for this table.
Sample Size = 53
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 4 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 14.2939 | 0.0025 |
| Likelihood Ratio Chi-Square | 3 | 18.8945 | 0.0003 |
| Mantel-Haenszel Chi-Square | 1 | 11.5362 | 0.0007 |
| Phi Coefficient | 0.2224 | ||
| Contingency Coefficient | 0.2171 | ||
| Cramer's V | 0.2224 | ||
Sample Size = 289
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 5 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
Row or column sum zero. No statistics computed for this table.
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 1 of LD_PAY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 2 | 61.2649 | <.0001 |
| Likelihood Ratio Chi-Square | 2 | 64.4235 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 19.1522 | <.0001 |
| Phi Coefficient | 0.1394 | ||
| Contingency Coefficient | 0.1381 | ||
| Cramer's V | 0.1394 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 2 of LD_PAY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 9.7641 | 0.0076 |
| Likelihood Ratio Chi-Square | 2 | 11.1788 | 0.0037 |
| Mantel-Haenszel Chi-Square | 1 | 0.0041 | 0.9489 |
| Phi Coefficient | 0.2199 | ||
| Contingency Coefficient | 0.2147 | ||
| Cramer's V | 0.2199 | ||
Sample Size = 202
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 3 of LD_PAY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 67% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 1.5374 | 0.4636 |
| Likelihood Ratio Chi-Square | 2 | 1.6269 | 0.4433 |
| Mantel-Haenszel Chi-Square | 1 | 0.6970 | 0.4038 |
| Phi Coefficient | 0.1703 | ||
| Contingency Coefficient | 0.1679 | ||
| Cramer's V | 0.1703 | ||
Sample Size = 53
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 4 of LD_PAY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 1.9177 | 0.3833 |
| Likelihood Ratio Chi-Square | 2 | 2.0721 | 0.3549 |
| Mantel-Haenszel Chi-Square | 1 | 0.1086 | 0.7417 |
| Phi Coefficient | 0.0815 | ||
| Contingency Coefficient | 0.0812 | ||
| Cramer's V | 0.0815 | ||
Sample Size = 289
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 5 of LD_PAY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
Row or column sum zero. No statistics computed for this table.
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 423.5516 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 449.8834 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 422.0088 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 423.4172 | <.0001 |
| Phi Coefficient | -0.3666 | ||
| Contingency Coefficient | 0.3442 | ||
| Cramer's V | -0.3666 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 211 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 17.7041 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 16.5276 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 16.1923 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 17.6164 | <.0001 |
| Phi Coefficient | -0.2960 | ||
| Contingency Coefficient | 0.2839 | ||
| Cramer's V | -0.2960 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 23 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 202
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 16.2810 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 9.3940 | 0.0022 |
| Continuity Adj. Chi-Square | 1 | 8.3953 | 0.0038 |
| Mantel-Haenszel Chi-Square | 1 | 15.9739 | <.0001 |
| Phi Coefficient | -0.5542 | ||
| Contingency Coefficient | 0.4848 | ||
| Cramer's V | -0.5542 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.0109 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.0109 |
| Two-sided Pr <= P | 0.0109 |
Sample Size = 53
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 43.9605 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 40.2516 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 41.8995 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 43.8084 | <.0001 |
| Phi Coefficient | -0.3900 | ||
| Contingency Coefficient | 0.3634 | ||
| Cramer's V | -0.3900 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 31 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 289
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 6.6238 | 0.0101 |
| Likelihood Ratio Chi-Square | 1 | 6.6870 | 0.0097 |
| Continuity Adj. Chi-Square | 1 | 4.4154 | 0.0356 |
| Mantel-Haenszel Chi-Square | 1 | 6.3954 | 0.0114 |
| Phi Coefficient | -0.4779 | ||
| Contingency Coefficient | 0.4312 | ||
| Cramer's V | -0.4779 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 0.0185 |
| Right-sided Pr >= F | 0.9990 |
| Table Probability (P) | 0.0175 |
| Two-sided Pr <= P | 0.0185 |
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 439.9078 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 455.6950 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 438.3512 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 439.7682 | <.0001 |
| Phi Coefficient | -0.3736 | ||
| Contingency Coefficient | 0.3500 | ||
| Cramer's V | -0.3736 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 279 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 16.9299 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 15.4744 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 15.3696 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 16.8461 | <.0001 |
| Phi Coefficient | -0.2895 | ||
| Contingency Coefficient | 0.2781 | ||
| Cramer's V | -0.2895 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 26 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | 0.0001 |
Sample Size = 202
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 16.2810 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 9.3940 | 0.0022 |
| Continuity Adj. Chi-Square | 1 | 8.3953 | 0.0038 |
| Mantel-Haenszel Chi-Square | 1 | 15.9739 | <.0001 |
| Phi Coefficient | -0.5542 | ||
| Contingency Coefficient | 0.4848 | ||
| Cramer's V | -0.5542 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.0109 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.0109 |
| Two-sided Pr <= P | 0.0109 |
Sample Size = 53
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 47.5708 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 42.5344 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 45.3048 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 47.4062 | <.0001 |
| Phi Coefficient | -0.4057 | ||
| Contingency Coefficient | 0.3760 | ||
| Cramer's V | -0.4057 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 34 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 289
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.4685 | 0.0625 |
| Likelihood Ratio Chi-Square | 1 | 3.3222 | 0.0683 |
| Continuity Adj. Chi-Square | 1 | 1.9049 | 0.1675 |
| Mantel-Haenszel Chi-Square | 1 | 3.3489 | 0.0673 |
| Phi Coefficient | -0.3458 | ||
| Contingency Coefficient | 0.3268 | ||
| Cramer's V | -0.3458 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.0861 |
| Right-sided Pr >= F | 0.9895 |
| Table Probability (P) | 0.0756 |
| Two-sided Pr <= P | 0.1432 |
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 108.8032 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 111.2707 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 108.0177 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 108.7687 | <.0001 |
| Phi Coefficient | -0.1858 | ||
| Contingency Coefficient | 0.1827 | ||
| Cramer's V | -0.1858 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 328 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 12.4617 | 0.0004 |
| Likelihood Ratio Chi-Square | 1 | 12.5101 | 0.0004 |
| Continuity Adj. Chi-Square | 1 | 11.3153 | 0.0008 |
| Mantel-Haenszel Chi-Square | 1 | 12.4000 | 0.0004 |
| Phi Coefficient | -0.2484 | ||
| Contingency Coefficient | 0.2411 | ||
| Cramer's V | -0.2484 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 16 |
| Left-sided Pr <= F | 0.0004 |
| Right-sided Pr >= F | 0.9999 |
| Table Probability (P) | 0.0003 |
| Two-sided Pr <= P | 0.0005 |
Sample Size = 202
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.1863 | 0.6660 |
| Likelihood Ratio Chi-Square | 1 | 0.1903 | 0.6627 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.1828 | 0.6690 |
| Phi Coefficient | 0.0593 | ||
| Contingency Coefficient | 0.0592 | ||
| Cramer's V | 0.0593 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.8051 |
| Right-sided Pr >= F | 0.5115 |
| Table Probability (P) | 0.3166 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 53
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 7.2613 | 0.0070 |
| Likelihood Ratio Chi-Square | 1 | 7.2112 | 0.0072 |
| Continuity Adj. Chi-Square | 1 | 6.5337 | 0.0106 |
| Mantel-Haenszel Chi-Square | 1 | 7.2362 | 0.0071 |
| Phi Coefficient | -0.1585 | ||
| Contingency Coefficient | 0.1566 | ||
| Cramer's V | -0.1585 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 30 |
| Left-sided Pr <= F | 0.0054 |
| Right-sided Pr >= F | 0.9976 |
| Table Probability (P) | 0.0030 |
| Two-sided Pr <= P | 0.0084 |
Sample Size = 289
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0090 | 0.9244 |
| Likelihood Ratio Chi-Square | 1 | 0.0090 | 0.9244 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0087 | 0.9257 |
| Phi Coefficient | -0.0176 | ||
| Contingency Coefficient | 0.0176 | ||
| Cramer's V | -0.0176 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.6395 |
| Right-sided Pr >= F | 0.7092 |
| Table Probability (P) | 0.3487 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 15.1273 | 0.0001 |
| Likelihood Ratio Chi-Square | 1 | 15.5524 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 14.7487 | 0.0001 |
| Mantel-Haenszel Chi-Square | 1 | 15.1225 | 0.0001 |
| Phi Coefficient | 0.0693 | ||
| Contingency Coefficient | 0.0691 | ||
| Cramer's V | 0.0693 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 974 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.9585 | 0.0009 |
| Likelihood Ratio Chi-Square | 1 | 11.8277 | 0.0006 |
| Continuity Adj. Chi-Square | 1 | 9.8658 | 0.0017 |
| Mantel-Haenszel Chi-Square | 1 | 10.9043 | 0.0010 |
| Phi Coefficient | 0.2329 | ||
| Contingency Coefficient | 0.2268 | ||
| Cramer's V | 0.2329 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 39 |
| Left-sided Pr <= F | 0.9998 |
| Right-sided Pr >= F | 0.0006 |
| Table Probability (P) | 0.0004 |
| Two-sided Pr <= P | 0.0011 |
Sample Size = 202
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0558 | 0.8132 |
| Likelihood Ratio Chi-Square | 1 | 0.0566 | 0.8119 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0548 | 0.8150 |
| Phi Coefficient | 0.0325 | ||
| Contingency Coefficient | 0.0324 | ||
| Cramer's V | 0.0325 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.7450 |
| Right-sided Pr >= F | 0.5937 |
| Table Probability (P) | 0.3387 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 53
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.6519 | 0.0011 |
| Likelihood Ratio Chi-Square | 1 | 11.3930 | 0.0007 |
| Continuity Adj. Chi-Square | 1 | 9.7406 | 0.0018 |
| Mantel-Haenszel Chi-Square | 1 | 10.6151 | 0.0011 |
| Phi Coefficient | 0.1920 | ||
| Contingency Coefficient | 0.1885 | ||
| Cramer's V | 0.1920 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 56 |
| Left-sided Pr <= F | 0.9998 |
| Right-sided Pr >= F | 0.0007 |
| Table Probability (P) | 0.0004 |
| Two-sided Pr <= P | 0.0010 |
Sample Size = 289
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.1251 | 0.7236 |
| Likelihood Ratio Chi-Square | 1 | 0.1216 | 0.7273 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.1208 | 0.7282 |
| Phi Coefficient | -0.0657 | ||
| Contingency Coefficient | 0.0655 | ||
| Cramer's V | -0.0657 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.5431 |
| Right-sided Pr >= F | 0.8097 |
| Table Probability (P) | 0.3528 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 48.1256 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 51.1035 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 47.4335 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 48.1103 | <.0001 |
| Phi Coefficient | -0.1236 | ||
| Contingency Coefficient | 0.1227 | ||
| Cramer's V | -0.1236 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 117 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3151
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 15.2364 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 17.6183 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 13.9016 | 0.0002 |
| Mantel-Haenszel Chi-Square | 1 | 15.1610 | <.0001 |
| Phi Coefficient | -0.2746 | ||
| Contingency Coefficient | 0.2648 | ||
| Cramer's V | -0.2746 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 5 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 202
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=3
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0217 | 0.8828 |
| Likelihood Ratio Chi-Square | 1 | 0.0217 | 0.8828 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0213 | 0.8839 |
| Phi Coefficient | -0.0203 | ||
| Contingency Coefficient | 0.0203 | ||
| Cramer's V | -0.0203 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.6090 |
| Right-sided Pr >= F | 0.7192 |
| Table Probability (P) | 0.3282 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 53
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=4
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.0904 | 0.0015 |
| Likelihood Ratio Chi-Square | 1 | 10.8661 | 0.0010 |
| Continuity Adj. Chi-Square | 1 | 9.1923 | 0.0024 |
| Mantel-Haenszel Chi-Square | 1 | 10.0555 | 0.0015 |
| Phi Coefficient | -0.1869 | ||
| Contingency Coefficient | 0.1837 | ||
| Cramer's V | -0.1869 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | 0.0009 |
| Right-sided Pr >= F | 0.9997 |
| Table Probability (P) | 0.0006 |
| Two-sided Pr <= P | 0.0014 |
Sample Size = 289
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOMS_FINAL_RE=5
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0187 | 0.8913 |
| Likelihood Ratio Chi-Square | 1 | 0.0185 | 0.8918 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0180 | 0.8932 |
| Phi Coefficient | 0.0254 | ||
| Contingency Coefficient | 0.0254 | ||
| Cramer's V | 0.0254 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.7425 |
| Right-sided Pr >= F | 0.6247 |
| Table Probability (P) | 0.3672 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 29
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of county by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 13 | 150.9503 | <.0001 |
| Likelihood Ratio Chi-Square | 13 | 154.4540 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 1.5465 | 0.2136 |
| Phi Coefficient | 0.2085 | ||
| Contingency Coefficient | 0.2041 | ||
| Cramer's V | 0.2085 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of county by DISCH_WITH_MOM
Controlling for foreign_born=1
Row or column sum zero. No statistics computed for this table.
Sample Size = 251
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of county by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 3 | 2.5502 | 0.4663 |
| Likelihood Ratio Chi-Square | 3 | 2.5470 | 0.4669 |
| Mantel-Haenszel Chi-Square | 1 | 0.0181 | 0.8931 |
| Phi Coefficient | 0.0271 | ||
| Contingency Coefficient | 0.0271 | ||
| Cramer's V | 0.0271 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 38% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 1.2188 | 0.7485 |
| Likelihood Ratio Chi-Square | 3 | 1.4309 | 0.6983 |
| Mantel-Haenszel Chi-Square | 1 | 0.0025 | 0.9602 |
| Phi Coefficient | 0.0697 | ||
| Contingency Coefficient | 0.0695 | ||
| Cramer's V | 0.0697 | ||
Sample Size = 251
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 38% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 2.2573 | 0.5208 |
| Likelihood Ratio Chi-Square | 3 | 2.4091 | 0.4919 |
| Mantel-Haenszel Chi-Square | 1 | 1.5657 | 0.2108 |
| Phi Coefficient | 0.0255 | ||
| Contingency Coefficient | 0.0255 | ||
| Cramer's V | 0.0255 | ||
Sample Size = 3472
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for foreign_born=1
Row or column sum zero. No statistics computed for this table.
Sample Size = 251
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 1 of LD_PAY by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 2 | 51.3396 | <.0001 |
| Likelihood Ratio Chi-Square | 2 | 53.7047 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 13.8235 | 0.0002 |
| Phi Coefficient | 0.1216 | ||
| Contingency Coefficient | 0.1207 | ||
| Cramer's V | 0.1216 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 2 of LD_PAY by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 7.5748 | 0.0227 |
| Likelihood Ratio Chi-Square | 2 | 9.1387 | 0.0104 |
| Mantel-Haenszel Chi-Square | 1 | 4.6097 | 0.0318 |
| Phi Coefficient | 0.1737 | ||
| Contingency Coefficient | 0.1712 | ||
| Cramer's V | 0.1737 | ||
Sample Size = 251
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 3 of LD_PAY by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 444.7757 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 467.8734 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 443.2726 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 444.6476 | <.0001 |
| Phi Coefficient | -0.3579 | ||
| Contingency Coefficient | 0.3370 | ||
| Cramer's V | -0.3579 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 257 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 71.4629 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 48.4100 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 66.5511 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 71.1782 | <.0001 |
| Phi Coefficient | -0.5336 | ||
| Contingency Coefficient | 0.4708 | ||
| Cramer's V | -0.5336 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 251
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 460.1587 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 472.9531 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 458.6369 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 460.0262 | <.0001 |
| Phi Coefficient | -0.3641 | ||
| Contingency Coefficient | 0.3421 | ||
| Cramer's V | -0.3641 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 332 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 82.4535 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 54.0577 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 76.9270 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 82.1250 | <.0001 |
| Phi Coefficient | -0.5731 | ||
| Contingency Coefficient | 0.4973 | ||
| Cramer's V | -0.5731 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 251
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 113.0931 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 115.4037 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 112.3305 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 113.0605 | <.0001 |
| Phi Coefficient | -0.1805 | ||
| Contingency Coefficient | 0.1776 | ||
| Cramer's V | -0.1805 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 372 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 15.1452 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 14.8400 | 0.0001 |
| Continuity Adj. Chi-Square | 1 | 13.6535 | 0.0002 |
| Mantel-Haenszel Chi-Square | 1 | 15.0849 | 0.0001 |
| Phi Coefficient | -0.2456 | ||
| Contingency Coefficient | 0.2385 | ||
| Cramer's V | -0.2456 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 9 |
| Left-sided Pr <= F | 0.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.0001 |
| Two-sided Pr <= P | 0.0001 |
Sample Size = 251
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 19.8421 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 20.4381 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 19.4381 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 19.8364 | <.0001 |
| Phi Coefficient | 0.0756 | ||
| Contingency Coefficient | 0.0754 | ||
| Cramer's V | 0.0756 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1050 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 15.0836 | 0.0001 |
| Likelihood Ratio Chi-Square | 1 | 17.0229 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 13.6243 | 0.0002 |
| Mantel-Haenszel Chi-Square | 1 | 15.0235 | 0.0001 |
| Phi Coefficient | 0.2451 | ||
| Contingency Coefficient | 0.2381 | ||
| Cramer's V | 0.2451 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 27 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 251
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for foreign_born=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 57.4487 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 61.1014 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 56.7415 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 57.4322 | <.0001 |
| Phi Coefficient | -0.1286 | ||
| Contingency Coefficient | 0.1276 | ||
| Cramer's V | -0.1286 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 133 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3472
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for foreign_born=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 8.7455 | 0.0031 |
| Likelihood Ratio Chi-Square | 1 | 9.2564 | 0.0023 |
| Continuity Adj. Chi-Square | 1 | 7.6462 | 0.0057 |
| Mantel-Haenszel Chi-Square | 1 | 8.7106 | 0.0032 |
| Phi Coefficient | -0.1867 | ||
| Contingency Coefficient | 0.1835 | ||
| Cramer's V | -0.1867 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 7 |
| Left-sided Pr <= F | 0.0024 |
| Right-sided Pr >= F | 0.9994 |
| Table Probability (P) | 0.0018 |
| Two-sided Pr <= P | 0.0036 |
Sample Size = 251
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of HCV_DIAG by DISCH_WITH_MOM
Controlling for foreign_born=8
Row or column sum zero. No statistics computed for this table.
Sample Size = 1
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
Row or column sum zero. No statistics computed for this table.
Sample Size = 258
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
Row or column sum zero. No statistics computed for this table.
Sample Size = 112
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 4.0023 | 0.2612 |
| Likelihood Ratio Chi-Square | 3 | 5.0589 | 0.1675 |
| Mantel-Haenszel Chi-Square | 1 | 1.4858 | 0.2229 |
| Phi Coefficient | 0.0873 | ||
| Contingency Coefficient | 0.0870 | ||
| Cramer's V | 0.0873 | ||
Sample Size = 525
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 4 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 5 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 1.1444 | 0.7664 |
| Likelihood Ratio Chi-Square | 3 | 1.4139 | 0.7023 |
| Mantel-Haenszel Chi-Square | 1 | 0.6192 | 0.4313 |
| Phi Coefficient | 0.0518 | ||
| Contingency Coefficient | 0.0517 | ||
| Cramer's V | 0.0518 | ||
Sample Size = 427
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 6 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 63% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 5.3455 | 0.1482 |
| Likelihood Ratio Chi-Square | 3 | 6.5133 | 0.0891 |
| Mantel-Haenszel Chi-Square | 1 | 0.0626 | 0.8025 |
| Phi Coefficient | 0.3303 | ||
| Contingency Coefficient | 0.3136 | ||
| Cramer's V | 0.3303 | ||
Sample Size = 49
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 7 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=HAMPDEN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 0.6094 | 0.8943 |
| Likelihood Ratio Chi-Square | 3 | 0.6102 | 0.8941 |
| Mantel-Haenszel Chi-Square | 1 | 0.4460 | 0.5042 |
| Phi Coefficient | 0.0503 | ||
| Contingency Coefficient | 0.0502 | ||
| Cramer's V | 0.0503 | ||
Sample Size = 241
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 8 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
Row or column sum zero. No statistics computed for this table.
Sample Size = 63
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 9 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 1.4647 | 0.6904 |
| Likelihood Ratio Chi-Square | 3 | 1.4338 | 0.6976 |
| Mantel-Haenszel Chi-Square | 1 | 0.5515 | 0.4577 |
| Phi Coefficient | 0.0505 | ||
| Contingency Coefficient | 0.0504 | ||
| Cramer's V | 0.0505 | ||
Sample Size = 575
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 10 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=NANTUCKET
Row or column sum zero. No statistics computed for this table.
Sample Size = 8
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 11 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=NORFOLK
Row or column sum zero. No statistics computed for this table.
Sample Size = 288
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 12 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 1.6187 | 0.6552 |
| Likelihood Ratio Chi-Square | 3 | 1.4992 | 0.6824 |
| Mantel-Haenszel Chi-Square | 1 | 0.3951 | 0.5296 |
| Phi Coefficient | 0.0627 | ||
| Contingency Coefficient | 0.0626 | ||
| Cramer's V | 0.0627 | ||
Sample Size = 412
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 13 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=SUFFOLK
Row or column sum zero. No statistics computed for this table.
Sample Size = 281
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 14 of AGE_BIRTH_GROUP by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 5.6824 | 0.1281 |
| Likelihood Ratio Chi-Square | 3 | 6.2005 | 0.1023 |
| Mantel-Haenszel Chi-Square | 1 | 4.2724 | 0.0387 |
| Phi Coefficient | 0.1086 | ||
| Contingency Coefficient | 0.1079 | ||
| Cramer's V | 0.1086 | ||
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
Row or column sum zero. No statistics computed for this table.
Sample Size = 258
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
Row or column sum zero. No statistics computed for this table.
Sample Size = 112
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 6.8085 | 0.0783 |
| Likelihood Ratio Chi-Square | 3 | 10.3486 | 0.0158 |
| Mantel-Haenszel Chi-Square | 1 | 5.3980 | 0.0202 |
| Phi Coefficient | 0.1139 | ||
| Contingency Coefficient | 0.1131 | ||
| Cramer's V | 0.1139 | ||
Sample Size = 525
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 4 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 5 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 63% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 4.3052 | 0.2303 |
| Likelihood Ratio Chi-Square | 3 | 4.3202 | 0.2289 |
| Mantel-Haenszel Chi-Square | 1 | 0.3522 | 0.5528 |
| Phi Coefficient | 0.1004 | ||
| Contingency Coefficient | 0.0999 | ||
| Cramer's V | 0.1004 | ||
Sample Size = 427
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 6 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=FRANKLIN
Row or column sum zero. No statistics computed for this table.
Sample Size = 49
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 7 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=HAMPDEN
Row or column sum zero. No statistics computed for this table.
Sample Size = 241
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 8 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
Row or column sum zero. No statistics computed for this table.
Sample Size = 63
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 9 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 63% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 8.1665 | 0.0427 |
| Likelihood Ratio Chi-Square | 3 | 11.7687 | 0.0082 |
| Mantel-Haenszel Chi-Square | 1 | 7.6143 | 0.0058 |
| Phi Coefficient | 0.1192 | ||
| Contingency Coefficient | 0.1183 | ||
| Cramer's V | 0.1192 | ||
Sample Size = 575
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 10 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=NANTUCKET
Row or column sum zero. No statistics computed for this table.
Sample Size = 8
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 11 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=NORFOLK
Row or column sum zero. No statistics computed for this table.
Sample Size = 288
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 12 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 63% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 3.7330 | 0.2918 |
| Likelihood Ratio Chi-Square | 3 | 6.3021 | 0.0978 |
| Mantel-Haenszel Chi-Square | 1 | 2.8732 | 0.0901 |
| Phi Coefficient | 0.0952 | ||
| Contingency Coefficient | 0.0948 | ||
| Cramer's V | 0.0952 | ||
Sample Size = 412
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 13 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 63% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 8.1354 | 0.0433 |
| Likelihood Ratio Chi-Square | 3 | 10.4720 | 0.0150 |
| Mantel-Haenszel Chi-Square | 1 | 2.3094 | 0.1286 |
| Phi Coefficient | 0.1702 | ||
| Contingency Coefficient | 0.1677 | ||
| Cramer's V | 0.1702 | ||
Sample Size = 281
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 14 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 3.9080 | 0.2716 |
| Likelihood Ratio Chi-Square | 3 | 5.4497 | 0.1417 |
| Mantel-Haenszel Chi-Square | 1 | 1.8652 | 0.1720 |
| Phi Coefficient | 0.0900 | ||
| Contingency Coefficient | 0.0897 | ||
| Cramer's V | 0.0900 | ||
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 1 of LD_PAY by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 6.4636 | 0.0395 |
| Likelihood Ratio Chi-Square | 2 | 8.3369 | 0.0155 |
| Mantel-Haenszel Chi-Square | 1 | 3.4891 | 0.0618 |
| Phi Coefficient | 0.1583 | ||
| Contingency Coefficient | 0.1563 | ||
| Cramer's V | 0.1583 | ||
Sample Size = 258
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 2 of LD_PAY by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
Row or column sum zero. No statistics computed for this table.
Sample Size = 112
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 3 of LD_PAY by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 5.7771 | 0.0557 |
| Likelihood Ratio Chi-Square | 2 | 6.2362 | 0.0442 |
| Mantel-Haenszel Chi-Square | 1 | 0.4944 | 0.4820 |
| Phi Coefficient | 0.1049 | ||
| Contingency Coefficient | 0.1043 | ||
| Cramer's V | 0.1049 | ||
Sample Size = 525
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 4 of LD_PAY by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 5 of LD_PAY by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 14.4560 | 0.0007 |
| Likelihood Ratio Chi-Square | 2 | 15.9534 | 0.0003 |
| Mantel-Haenszel Chi-Square | 1 | 3.7852 | 0.0517 |
| Phi Coefficient | 0.1840 | ||
| Contingency Coefficient | 0.1810 | ||
| Cramer's V | 0.1840 | ||
Sample Size = 427
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 6 of LD_PAY by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 67% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 4.0433 | 0.1324 |
| Likelihood Ratio Chi-Square | 2 | 5.4420 | 0.0658 |
| Mantel-Haenszel Chi-Square | 1 | 1.1406 | 0.2855 |
| Phi Coefficient | 0.2873 | ||
| Contingency Coefficient | 0.2761 | ||
| Cramer's V | 0.2873 | ||
Sample Size = 49
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 7 of LD_PAY by DISCH_WITH_MOM
Controlling for county=HAMPDEN
Row or column sum zero. No statistics computed for this table.
Sample Size = 241
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 8 of LD_PAY by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 67% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 6.6710 | 0.0356 |
| Likelihood Ratio Chi-Square | 2 | 7.6220 | 0.0221 |
| Mantel-Haenszel Chi-Square | 1 | 2.9439 | 0.0862 |
| Phi Coefficient | 0.3254 | ||
| Contingency Coefficient | 0.3094 | ||
| Cramer's V | 0.3254 | ||
Sample Size = 63
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 9 of LD_PAY by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 9.2027 | 0.0100 |
| Likelihood Ratio Chi-Square | 2 | 9.5485 | 0.0084 |
| Mantel-Haenszel Chi-Square | 1 | 3.6918 | 0.0547 |
| Phi Coefficient | 0.1265 | ||
| Contingency Coefficient | 0.1255 | ||
| Cramer's V | 0.1265 | ||
Sample Size = 575
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 10 of LD_PAY by DISCH_WITH_MOM
Controlling for county=NANTUCKET
Row or column sum zero. No statistics computed for this table.
Sample Size = 8
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 11 of LD_PAY by DISCH_WITH_MOM
Controlling for county=NORFOLK
Row or column sum zero. No statistics computed for this table.
Sample Size = 288
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 12 of LD_PAY by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 6.1507 | 0.0462 |
| Likelihood Ratio Chi-Square | 2 | 6.5922 | 0.0370 |
| Mantel-Haenszel Chi-Square | 1 | 1.2187 | 0.2696 |
| Phi Coefficient | 0.1222 | ||
| Contingency Coefficient | 0.1213 | ||
| Cramer's V | 0.1222 | ||
Sample Size = 412
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 13 of LD_PAY by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 2.2388 | 0.3265 |
| Likelihood Ratio Chi-Square | 2 | 2.0840 | 0.3527 |
| Mantel-Haenszel Chi-Square | 1 | 0.1614 | 0.6878 |
| Phi Coefficient | 0.0893 | ||
| Contingency Coefficient | 0.0889 | ||
| Cramer's V | 0.0893 | ||
Sample Size = 281
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 14 of LD_PAY by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 7.7871 | 0.0204 |
| Likelihood Ratio Chi-Square | 2 | 8.2474 | 0.0162 |
| Mantel-Haenszel Chi-Square | 1 | 1.7246 | 0.1891 |
| Phi Coefficient | 0.1271 | ||
| Contingency Coefficient | 0.1261 | ||
| Cramer's V | 0.1271 | ||
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.4639 | 0.0012 |
| Likelihood Ratio Chi-Square | 1 | 11.3134 | 0.0008 |
| Continuity Adj. Chi-Square | 1 | 9.4589 | 0.0021 |
| Mantel-Haenszel Chi-Square | 1 | 10.4234 | 0.0012 |
| Phi Coefficient | -0.2014 | ||
| Contingency Coefficient | 0.1974 | ||
| Cramer's V | -0.2014 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 10 |
| Left-sided Pr <= F | 0.0007 |
| Right-sided Pr >= F | 0.9998 |
| Table Probability (P) | 0.0005 |
| Two-sided Pr <= P | 0.0013 |
Sample Size = 258
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 9.2310 | 0.0024 |
| Likelihood Ratio Chi-Square | 1 | 10.1747 | 0.0014 |
| Continuity Adj. Chi-Square | 1 | 7.9005 | 0.0049 |
| Mantel-Haenszel Chi-Square | 1 | 9.1486 | 0.0025 |
| Phi Coefficient | -0.2871 | ||
| Contingency Coefficient | 0.2759 | ||
| Cramer's V | -0.2871 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.0018 |
| Right-sided Pr >= F | 0.9997 |
| Table Probability (P) | 0.0015 |
| Two-sided Pr <= P | 0.0028 |
Sample Size = 112
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 106.0667 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 111.4694 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 104.2370 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 105.8647 | <.0001 |
| Phi Coefficient | -0.4495 | ||
| Contingency Coefficient | 0.4100 | ||
| Cramer's V | -0.4495 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 43 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 525
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 60.5002 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 61.6939 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 58.8260 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 60.3586 | <.0001 |
| Phi Coefficient | -0.3764 | ||
| Contingency Coefficient | 0.3523 | ||
| Cramer's V | -0.3764 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 31 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 427
|
|
||||||||||||||||||||||||||||
Statistics for Table 6 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 4.2742 | 0.0387 |
| Likelihood Ratio Chi-Square | 1 | 5.0614 | 0.0245 |
| Continuity Adj. Chi-Square | 1 | 2.9351 | 0.0867 |
| Mantel-Haenszel Chi-Square | 1 | 4.1869 | 0.0407 |
| Phi Coefficient | -0.2953 | ||
| Contingency Coefficient | 0.2832 | ||
| Cramer's V | -0.2953 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 0.0374 |
| Right-sided Pr >= F | 0.9962 |
| Table Probability (P) | 0.0336 |
| Two-sided Pr <= P | 0.0733 |
Sample Size = 49
|
|
||||||||||||||||||||||||||||
Statistics for Table 7 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=HAMPDEN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 68.1458 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 72.1378 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 66.0219 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 67.8630 | <.0001 |
| Phi Coefficient | -0.5318 | ||
| Contingency Coefficient | 0.4695 | ||
| Cramer's V | -0.5318 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 21 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 241
|
|
||||||||||||||||||||||||||||
Statistics for Table 8 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 21.8754 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 23.4162 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 19.5676 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 21.5281 | <.0001 |
| Phi Coefficient | -0.5893 | ||
| Contingency Coefficient | 0.5077 | ||
| Cramer's V | -0.5893 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 5 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 63
|
|
||||||||||||||||||||||||||||
Statistics for Table 9 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 73.6491 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 76.3262 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 72.1520 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 73.5210 | <.0001 |
| Phi Coefficient | -0.3579 | ||
| Contingency Coefficient | 0.3370 | ||
| Cramer's V | -0.3579 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 49 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 575
|
|
||||||||||||||||||||||||||||
Statistics for Table 10 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=NANTUCKET
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.4286 | 0.0641 |
| Likelihood Ratio Chi-Square | 1 | 3.2557 | 0.0712 |
| Continuity Adj. Chi-Square | 1 | 0.3810 | 0.5371 |
| Mantel-Haenszel Chi-Square | 1 | 3.0000 | 0.0833 |
| Phi Coefficient | -0.6547 | ||
| Contingency Coefficient | 0.5477 | ||
| Cramer's V | -0.6547 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 0 |
| Left-sided Pr <= F | 0.2500 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.2500 |
| Two-sided Pr <= P | 0.2500 |
Sample Size = 8
|
|
||||||||||||||||||||||||||||
Statistics for Table 11 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=NORFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 36.1026 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 37.1560 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 34.4802 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 35.9772 | <.0001 |
| Phi Coefficient | -0.3541 | ||
| Contingency Coefficient | 0.3338 | ||
| Cramer's V | -0.3541 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 17 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 288
|
|
||||||||||||||||||||||||||||
Statistics for Table 12 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 34.1795 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 34.8152 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 32.8875 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 34.0965 | <.0001 |
| Phi Coefficient | -0.2880 | ||
| Contingency Coefficient | 0.2768 | ||
| Cramer's V | -0.2880 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 32 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 412
|
|
||||||||||||||||||||||||||||
Statistics for Table 13 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 18.2595 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 19.1258 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 17.0051 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 18.1945 | <.0001 |
| Phi Coefficient | -0.2549 | ||
| Contingency Coefficient | 0.2470 | ||
| Cramer's V | -0.2549 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 281
|
|
||||||||||||||||||||||||||||
Statistics for Table 14 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 115.6051 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 121.6373 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 113.6415 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 115.3653 | <.0001 |
| Phi Coefficient | -0.4897 | ||
| Contingency Coefficient | 0.4398 | ||
| Cramer's V | -0.4897 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 44 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.8810 | 0.0010 |
| Likelihood Ratio Chi-Square | 1 | 11.3881 | 0.0007 |
| Continuity Adj. Chi-Square | 1 | 9.8770 | 0.0017 |
| Mantel-Haenszel Chi-Square | 1 | 10.8388 | 0.0010 |
| Phi Coefficient | -0.2054 | ||
| Contingency Coefficient | 0.2012 | ||
| Cramer's V | -0.2054 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | 0.0007 |
| Right-sided Pr >= F | 0.9998 |
| Table Probability (P) | 0.0005 |
| Two-sided Pr <= P | 0.0010 |
Sample Size = 258
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 2.9366 | 0.0866 |
| Likelihood Ratio Chi-Square | 1 | 3.0026 | 0.0831 |
| Continuity Adj. Chi-Square | 1 | 2.2785 | 0.1312 |
| Mantel-Haenszel Chi-Square | 1 | 2.9104 | 0.0880 |
| Phi Coefficient | -0.1619 | ||
| Contingency Coefficient | 0.1598 | ||
| Cramer's V | -0.1619 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 11 |
| Left-sided Pr <= F | 0.0646 |
| Right-sided Pr >= F | 0.9736 |
| Table Probability (P) | 0.0382 |
| Two-sided Pr <= P | 0.1044 |
Sample Size = 112
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 114.2209 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 118.0171 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 112.3141 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 114.0033 | <.0001 |
| Phi Coefficient | -0.4664 | ||
| Contingency Coefficient | 0.4227 | ||
| Cramer's V | -0.4664 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 55 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 525
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 69.1260 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 68.4628 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 67.2937 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 68.9641 | <.0001 |
| Phi Coefficient | -0.4024 | ||
| Contingency Coefficient | 0.3733 | ||
| Cramer's V | -0.4024 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 37 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 427
|
|
||||||||||||||||||||||||||||
Statistics for Table 6 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 7.5313 | 0.0061 |
| Likelihood Ratio Chi-Square | 1 | 8.9501 | 0.0028 |
| Continuity Adj. Chi-Square | 1 | 5.8540 | 0.0155 |
| Mantel-Haenszel Chi-Square | 1 | 7.3776 | 0.0066 |
| Phi Coefficient | -0.3920 | ||
| Contingency Coefficient | 0.3650 | ||
| Cramer's V | -0.3920 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 0.0053 |
| Right-sided Pr >= F | 0.9997 |
| Table Probability (P) | 0.0050 |
| Two-sided Pr <= P | 0.0083 |
Sample Size = 49
|
|
||||||||||||||||||||||||||||
Statistics for Table 7 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=HAMPDEN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 71.2702 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 75.2983 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 69.1112 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 70.9744 | <.0001 |
| Phi Coefficient | -0.5438 | ||
| Contingency Coefficient | 0.4777 | ||
| Cramer's V | -0.5438 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 26 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 241
|
|
||||||||||||||||||||||||||||
Statistics for Table 8 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 19.4840 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 20.6509 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 17.3161 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 19.1747 | <.0001 |
| Phi Coefficient | -0.5561 | ||
| Contingency Coefficient | 0.4860 | ||
| Cramer's V | -0.5561 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 6 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 63
|
|
||||||||||||||||||||||||||||
Statistics for Table 9 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 76.2325 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 77.7410 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 74.7043 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 76.0999 | <.0001 |
| Phi Coefficient | -0.3641 | ||
| Contingency Coefficient | 0.3421 | ||
| Cramer's V | -0.3641 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 58 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 575
|
|
||||||||||||||||||||||||||||
Statistics for Table 10 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=NANTUCKET
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.4286 | 0.0641 |
| Likelihood Ratio Chi-Square | 1 | 3.2557 | 0.0712 |
| Continuity Adj. Chi-Square | 1 | 0.3810 | 0.5371 |
| Mantel-Haenszel Chi-Square | 1 | 3.0000 | 0.0833 |
| Phi Coefficient | -0.6547 | ||
| Contingency Coefficient | 0.5477 | ||
| Cramer's V | -0.6547 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 0 |
| Left-sided Pr <= F | 0.2500 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.2500 |
| Two-sided Pr <= P | 0.2500 |
Sample Size = 8
|
|
||||||||||||||||||||||||||||
Statistics for Table 11 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=NORFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 26.8486 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 26.3372 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 25.4170 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 26.7554 | <.0001 |
| Phi Coefficient | -0.3053 | ||
| Contingency Coefficient | 0.2920 | ||
| Cramer's V | -0.3053 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 26 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 288
|
|
||||||||||||||||||||||||||||
Statistics for Table 12 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 32.1465 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 31.7792 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 30.8708 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 32.0685 | <.0001 |
| Phi Coefficient | -0.2793 | ||
| Contingency Coefficient | 0.2690 | ||
| Cramer's V | -0.2793 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 41 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 412
|
|
||||||||||||||||||||||||||||
Statistics for Table 13 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 23.2315 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 23.8372 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 21.8103 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 23.1488 | <.0001 |
| Phi Coefficient | -0.2875 | ||
| Contingency Coefficient | 0.2763 | ||
| Cramer's V | -0.2875 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 14 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 281
|
|
||||||||||||||||||||||||||||
Statistics for Table 14 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 123.2231 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 129.0265 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 121.2056 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 122.9675 | <.0001 |
| Phi Coefficient | -0.5056 | ||
| Contingency Coefficient | 0.4512 | ||
| Cramer's V | -0.5056 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 57 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 1.3888 | 0.2386 |
| Likelihood Ratio Chi-Square | 1 | 1.4017 | 0.2364 |
| Continuity Adj. Chi-Square | 1 | 1.0459 | 0.3064 |
| Mantel-Haenszel Chi-Square | 1 | 1.3834 | 0.2395 |
| Phi Coefficient | -0.0734 | ||
| Contingency Coefficient | 0.0732 | ||
| Cramer's V | -0.0734 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 20 |
| Left-sided Pr <= F | 0.1532 |
| Right-sided Pr >= F | 0.9095 |
| Table Probability (P) | 0.0626 |
| Two-sided Pr <= P | 0.2767 |
Sample Size = 258
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.0735 | 0.7864 |
| Likelihood Ratio Chi-Square | 1 | 0.0734 | 0.7864 |
| Continuity Adj. Chi-Square | 1 | 0.0058 | 0.9391 |
| Mantel-Haenszel Chi-Square | 1 | 0.0728 | 0.7873 |
| Phi Coefficient | 0.0256 | ||
| Contingency Coefficient | 0.0256 | ||
| Cramer's V | 0.0256 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 20 |
| Left-sided Pr <= F | 0.6797 |
| Right-sided Pr >= F | 0.4688 |
| Table Probability (P) | 0.1485 |
| Two-sided Pr <= P | 0.8468 |
Sample Size = 112
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 14.9941 | 0.0001 |
| Likelihood Ratio Chi-Square | 1 | 15.2189 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 14.3012 | 0.0002 |
| Mantel-Haenszel Chi-Square | 1 | 14.9655 | 0.0001 |
| Phi Coefficient | -0.1690 | ||
| Contingency Coefficient | 0.1666 | ||
| Cramer's V | -0.1690 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 65 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | 0.0001 |
Sample Size = 525
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 21.2436 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 21.4728 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 20.2620 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 21.1939 | <.0001 |
| Phi Coefficient | -0.2230 | ||
| Contingency Coefficient | 0.2177 | ||
| Cramer's V | -0.2230 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 41 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 427
|
|
||||||||||||||||||||||||||||
Statistics for Table 6 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 1.2528 | 0.2630 |
| Likelihood Ratio Chi-Square | 1 | 1.2634 | 0.2610 |
| Continuity Adj. Chi-Square | 1 | 0.6636 | 0.4153 |
| Mantel-Haenszel Chi-Square | 1 | 1.2273 | 0.2679 |
| Phi Coefficient | -0.1599 | ||
| Contingency Coefficient | 0.1579 | ||
| Cramer's V | -0.1599 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 6 |
| Left-sided Pr <= F | 0.2080 |
| Right-sided Pr >= F | 0.9234 |
| Table Probability (P) | 0.1314 |
| Two-sided Pr <= P | 0.3635 |
Sample Size = 49
|
|
||||||||||||||||||||||||||||
Statistics for Table 7 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=HAMPDEN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.5616 | 0.0012 |
| Likelihood Ratio Chi-Square | 1 | 10.6593 | 0.0011 |
| Continuity Adj. Chi-Square | 1 | 9.7263 | 0.0018 |
| Mantel-Haenszel Chi-Square | 1 | 10.5177 | 0.0012 |
| Phi Coefficient | -0.2093 | ||
| Contingency Coefficient | 0.2049 | ||
| Cramer's V | -0.2093 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 36 |
| Left-sided Pr <= F | 0.0009 |
| Right-sided Pr >= F | 0.9997 |
| Table Probability (P) | 0.0005 |
| Two-sided Pr <= P | 0.0016 |
Sample Size = 241
|
|
||||||||||||||||||||||||||||
Statistics for Table 8 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 1.5164 | 0.2182 |
| Likelihood Ratio Chi-Square | 1 | 1.5277 | 0.2165 |
| Continuity Adj. Chi-Square | 1 | 0.8873 | 0.3462 |
| Mantel-Haenszel Chi-Square | 1 | 1.4924 | 0.2219 |
| Phi Coefficient | -0.1551 | ||
| Contingency Coefficient | 0.1533 | ||
| Cramer's V | -0.1551 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 6 |
| Left-sided Pr <= F | 0.1733 |
| Right-sided Pr >= F | 0.9364 |
| Table Probability (P) | 0.1097 |
| Two-sided Pr <= P | 0.2574 |
Sample Size = 63
|
|
||||||||||||||||||||||||||||
Statistics for Table 9 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 17.3221 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 17.7364 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 16.5864 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 17.2920 | <.0001 |
| Phi Coefficient | -0.1736 | ||
| Contingency Coefficient | 0.1710 | ||
| Cramer's V | -0.1736 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 57 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 575
|
|
||||||||||||||||||||||||||||
Statistics for Table 10 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=NANTUCKET
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.4286 | 0.0641 |
| Likelihood Ratio Chi-Square | 1 | 3.2557 | 0.0712 |
| Continuity Adj. Chi-Square | 1 | 0.3810 | 0.5371 |
| Mantel-Haenszel Chi-Square | 1 | 3.0000 | 0.0833 |
| Phi Coefficient | -0.6547 | ||
| Contingency Coefficient | 0.5477 | ||
| Cramer's V | -0.6547 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 0 |
| Left-sided Pr <= F | 0.2500 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.2500 |
| Two-sided Pr <= P | 0.2500 |
Sample Size = 8
|
|
||||||||||||||||||||||||||||
Statistics for Table 11 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=NORFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 6.6865 | 0.0097 |
| Likelihood Ratio Chi-Square | 1 | 6.7600 | 0.0093 |
| Continuity Adj. Chi-Square | 1 | 6.0012 | 0.0143 |
| Mantel-Haenszel Chi-Square | 1 | 6.6633 | 0.0098 |
| Phi Coefficient | -0.1524 | ||
| Contingency Coefficient | 0.1506 | ||
| Cramer's V | -0.1524 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 26 |
| Left-sided Pr <= F | 0.0070 |
| Right-sided Pr >= F | 0.9969 |
| Table Probability (P) | 0.0038 |
| Two-sided Pr <= P | 0.0101 |
Sample Size = 288
|
|
||||||||||||||||||||||||||||
Statistics for Table 12 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 6.3746 | 0.0116 |
| Likelihood Ratio Chi-Square | 1 | 6.5070 | 0.0107 |
| Continuity Adj. Chi-Square | 1 | 5.8177 | 0.0159 |
| Mantel-Haenszel Chi-Square | 1 | 6.3592 | 0.0117 |
| Phi Coefficient | -0.1244 | ||
| Contingency Coefficient | 0.1234 | ||
| Cramer's V | -0.1244 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 35 |
| Left-sided Pr <= F | 0.0075 |
| Right-sided Pr >= F | 0.9961 |
| Table Probability (P) | 0.0036 |
| Two-sided Pr <= P | 0.0130 |
Sample Size = 412
|
|
||||||||||||||||||||||||||||
Statistics for Table 13 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 1.6494 | 0.1990 |
| Likelihood Ratio Chi-Square | 1 | 1.6488 | 0.1991 |
| Continuity Adj. Chi-Square | 1 | 1.2878 | 0.2565 |
| Mantel-Haenszel Chi-Square | 1 | 1.6435 | 0.1998 |
| Phi Coefficient | -0.0766 | ||
| Contingency Coefficient | 0.0764 | ||
| Cramer's V | -0.0766 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 25 |
| Left-sided Pr <= F | 0.1283 |
| Right-sided Pr >= F | 0.9242 |
| Table Probability (P) | 0.0524 |
| Two-sided Pr <= P | 0.2323 |
Sample Size = 281
|
|
||||||||||||||||||||||||||||
Statistics for Table 14 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 57.5515 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 59.6224 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 56.1251 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 57.4321 | <.0001 |
| Phi Coefficient | -0.3455 | ||
| Contingency Coefficient | 0.3266 | ||
| Cramer's V | -0.3455 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 44 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 1.9192 | 0.1659 |
| Likelihood Ratio Chi-Square | 1 | 2.1175 | 0.1456 |
| Continuity Adj. Chi-Square | 1 | 1.3762 | 0.2407 |
| Mantel-Haenszel Chi-Square | 1 | 1.9118 | 0.1668 |
| Phi Coefficient | 0.0862 | ||
| Contingency Coefficient | 0.0859 | ||
| Cramer's V | 0.0862 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 47 |
| Left-sided Pr <= F | 0.9514 |
| Right-sided Pr >= F | 0.1176 |
| Table Probability (P) | 0.0689 |
| Two-sided Pr <= P | 0.2054 |
Sample Size = 258
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.5270 | 0.4679 |
| Likelihood Ratio Chi-Square | 1 | 0.5198 | 0.4709 |
| Continuity Adj. Chi-Square | 1 | 0.1897 | 0.6631 |
| Mantel-Haenszel Chi-Square | 1 | 0.5223 | 0.4699 |
| Phi Coefficient | -0.0686 | ||
| Contingency Coefficient | 0.0684 | ||
| Cramer's V | -0.0686 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 39 |
| Left-sided Pr <= F | 0.3283 |
| Right-sided Pr >= F | 0.8452 |
| Table Probability (P) | 0.1735 |
| Two-sided Pr <= P | 0.5649 |
Sample Size = 112
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.9937 | 0.3189 |
| Likelihood Ratio Chi-Square | 1 | 1.0020 | 0.3168 |
| Continuity Adj. Chi-Square | 1 | 0.7959 | 0.3723 |
| Mantel-Haenszel Chi-Square | 1 | 0.9918 | 0.3193 |
| Phi Coefficient | 0.0435 | ||
| Contingency Coefficient | 0.0435 | ||
| Cramer's V | 0.0435 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 164 |
| Left-sided Pr <= F | 0.8649 |
| Right-sided Pr >= F | 0.1864 |
| Table Probability (P) | 0.0512 |
| Two-sided Pr <= P | 0.3470 |
Sample Size = 525
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 5.8528 | 0.0156 |
| Likelihood Ratio Chi-Square | 1 | 6.3507 | 0.0117 |
| Continuity Adj. Chi-Square | 1 | 5.1950 | 0.0227 |
| Mantel-Haenszel Chi-Square | 1 | 5.8391 | 0.0157 |
| Phi Coefficient | 0.1171 | ||
| Contingency Coefficient | 0.1163 | ||
| Cramer's V | 0.1171 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 107 |
| Left-sided Pr <= F | 0.9961 |
| Right-sided Pr >= F | 0.0094 |
| Table Probability (P) | 0.0054 |
| Two-sided Pr <= P | 0.0169 |
Sample Size = 427
|
|
||||||||||||||||||||||||||||
Statistics for Table 6 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 2.6997 | 0.1004 |
| Likelihood Ratio Chi-Square | 1 | 4.2237 | 0.0399 |
| Continuity Adj. Chi-Square | 1 | 1.2993 | 0.2543 |
| Mantel-Haenszel Chi-Square | 1 | 2.6446 | 0.1039 |
| Phi Coefficient | 0.2347 | ||
| Contingency Coefficient | 0.2285 | ||
| Cramer's V | 0.2347 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 16 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | 0.1245 |
| Table Probability (P) | 0.1245 |
| Two-sided Pr <= P | 0.1582 |
Sample Size = 49
|
|
||||||||||||||||||||||||||||
Statistics for Table 7 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=HAMPDEN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 13.8233 | 0.0002 |
| Likelihood Ratio Chi-Square | 1 | 14.1738 | 0.0002 |
| Continuity Adj. Chi-Square | 1 | 12.7492 | 0.0004 |
| Mantel-Haenszel Chi-Square | 1 | 13.7660 | 0.0002 |
| Phi Coefficient | 0.2395 | ||
| Contingency Coefficient | 0.2329 | ||
| Cramer's V | 0.2395 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 101 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | 0.0002 |
| Table Probability (P) | 0.0001 |
| Two-sided Pr <= P | 0.0002 |
Sample Size = 241
|
|
||||||||||||||||||||||||||||
Statistics for Table 8 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0030 | 0.9564 |
| Likelihood Ratio Chi-Square | 1 | 0.0030 | 0.9564 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0029 | 0.9567 |
| Phi Coefficient | 0.0069 | ||
| Contingency Coefficient | 0.0069 | ||
| Cramer's V | 0.0069 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 27 |
| Left-sided Pr <= F | 0.6548 |
| Right-sided Pr >= F | 0.6129 |
| Table Probability (P) | 0.2677 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 63
|
|
||||||||||||||||||||||||||||
Statistics for Table 9 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 8.2671 | 0.0040 |
| Likelihood Ratio Chi-Square | 1 | 8.5961 | 0.0034 |
| Continuity Adj. Chi-Square | 1 | 7.6929 | 0.0055 |
| Mantel-Haenszel Chi-Square | 1 | 8.2527 | 0.0041 |
| Phi Coefficient | 0.1199 | ||
| Contingency Coefficient | 0.1191 | ||
| Cramer's V | 0.1199 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 164 |
| Left-sided Pr <= F | 0.9988 |
| Right-sided Pr >= F | 0.0024 |
| Table Probability (P) | 0.0012 |
| Two-sided Pr <= P | 0.0043 |
Sample Size = 575
|
|
||||||||||||||||||||||||||||
Statistics for Table 10 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=NANTUCKET
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.1633 | 0.6862 |
| Likelihood Ratio Chi-Square | 1 | 0.2867 | 0.5923 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.1429 | 0.7055 |
| Phi Coefficient | 0.1429 | ||
| Contingency Coefficient | 0.1414 | ||
| Cramer's V | 0.1429 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | 0.8750 |
| Table Probability (P) | 0.8750 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 8
|
|
||||||||||||||||||||||||||||
Statistics for Table 11 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=NORFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.6640 | 0.4152 |
| Likelihood Ratio Chi-Square | 1 | 0.6883 | 0.4068 |
| Continuity Adj. Chi-Square | 1 | 0.4017 | 0.5262 |
| Mantel-Haenszel Chi-Square | 1 | 0.6617 | 0.4160 |
| Phi Coefficient | 0.0480 | ||
| Contingency Coefficient | 0.0480 | ||
| Cramer's V | 0.0480 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 62 |
| Left-sided Pr <= F | 0.8404 |
| Right-sided Pr >= F | 0.2673 |
| Table Probability (P) | 0.1077 |
| Two-sided Pr <= P | 0.4730 |
Sample Size = 288
|
|
||||||||||||||||||||||||||||
Statistics for Table 12 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.4501 | 0.5023 |
| Likelihood Ratio Chi-Square | 1 | 0.4584 | 0.4984 |
| Continuity Adj. Chi-Square | 1 | 0.2838 | 0.5942 |
| Mantel-Haenszel Chi-Square | 1 | 0.4490 | 0.5028 |
| Phi Coefficient | 0.0331 | ||
| Contingency Coefficient | 0.0330 | ||
| Cramer's V | 0.0331 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 90 |
| Left-sided Pr <= F | 0.7894 |
| Right-sided Pr >= F | 0.3004 |
| Table Probability (P) | 0.0899 |
| Two-sided Pr <= P | 0.5810 |
Sample Size = 412
|
|
||||||||||||||||||||||||||||
Statistics for Table 13 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 6.9094 | 0.0086 |
| Likelihood Ratio Chi-Square | 1 | 7.6782 | 0.0056 |
| Continuity Adj. Chi-Square | 1 | 6.0669 | 0.0138 |
| Mantel-Haenszel Chi-Square | 1 | 6.8848 | 0.0087 |
| Phi Coefficient | 0.1568 | ||
| Contingency Coefficient | 0.1549 | ||
| Cramer's V | 0.1568 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 48 |
| Left-sided Pr <= F | 0.9984 |
| Right-sided Pr >= F | 0.0051 |
| Table Probability (P) | 0.0035 |
| Two-sided Pr <= P | 0.0080 |
Sample Size = 281
|
|
||||||||||||||||||||||||||||
Statistics for Table 14 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 14.8205 | 0.0001 |
| Likelihood Ratio Chi-Square | 1 | 15.4478 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 13.8348 | 0.0002 |
| Mantel-Haenszel Chi-Square | 1 | 14.7897 | 0.0001 |
| Phi Coefficient | 0.1754 | ||
| Contingency Coefficient | 0.1727 | ||
| Cramer's V | 0.1754 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 211 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | 0.0001 |
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=BARNSTABLE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 5.8393 | 0.0157 |
| Likelihood Ratio Chi-Square | 1 | 7.4152 | 0.0065 |
| Continuity Adj. Chi-Square | 1 | 4.8183 | 0.0282 |
| Mantel-Haenszel Chi-Square | 1 | 5.8167 | 0.0159 |
| Phi Coefficient | -0.1504 | ||
| Contingency Coefficient | 0.1488 | ||
| Cramer's V | -0.1504 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.0085 |
| Right-sided Pr >= F | 0.9986 |
| Table Probability (P) | 0.0071 |
| Two-sided Pr <= P | 0.0140 |
Sample Size = 258
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=BERKSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.3325 | 0.5642 |
| Likelihood Ratio Chi-Square | 1 | 0.3396 | 0.5601 |
| Continuity Adj. Chi-Square | 1 | 0.0708 | 0.7901 |
| Mantel-Haenszel Chi-Square | 1 | 0.3295 | 0.5659 |
| Phi Coefficient | -0.0545 | ||
| Contingency Coefficient | 0.0544 | ||
| Cramer's V | -0.0545 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.4011 |
| Right-sided Pr >= F | 0.8111 |
| Table Probability (P) | 0.2122 |
| Two-sided Pr <= P | 0.7583 |
Sample Size = 112
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=BRISTOL
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 15.9856 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 17.2564 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 15.0281 | 0.0001 |
| Mantel-Haenszel Chi-Square | 1 | 15.9552 | <.0001 |
| Phi Coefficient | -0.1745 | ||
| Contingency Coefficient | 0.1719 | ||
| Cramer's V | -0.1745 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 17 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 525
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=DUKES
Row or column sum zero. No statistics computed for this table.
Sample Size = 3
|
|
||||||||||||||||||||||||||||
Statistics for Table 5 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=ESSEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 4.8701 | 0.0273 |
| Likelihood Ratio Chi-Square | 1 | 5.2318 | 0.0222 |
| Continuity Adj. Chi-Square | 1 | 4.2746 | 0.0387 |
| Mantel-Haenszel Chi-Square | 1 | 4.8587 | 0.0275 |
| Phi Coefficient | -0.1068 | ||
| Contingency Coefficient | 0.1062 | ||
| Cramer's V | -0.1068 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 14 |
| Left-sided Pr <= F | 0.0169 |
| Right-sided Pr >= F | 0.9923 |
| Table Probability (P) | 0.0092 |
| Two-sided Pr <= P | 0.0265 |
Sample Size = 427
|
|
||||||||||||||||||||||||||||
Statistics for Table 6 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=FRANKLIN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.9356 | 0.3334 |
| Likelihood Ratio Chi-Square | 1 | 0.8856 | 0.3467 |
| Continuity Adj. Chi-Square | 1 | 0.2526 | 0.6152 |
| Mantel-Haenszel Chi-Square | 1 | 0.9165 | 0.3384 |
| Phi Coefficient | 0.1382 | ||
| Contingency Coefficient | 0.1369 | ||
| Cramer's V | 0.1382 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.9204 |
| Right-sided Pr >= F | 0.2981 |
| Table Probability (P) | 0.2185 |
| Two-sided Pr <= P | 0.3773 |
Sample Size = 49
|
|
||||||||||||||||||||||||||||
Statistics for Table 7 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=HAMPDEN
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.2818 | 0.0013 |
| Likelihood Ratio Chi-Square | 1 | 10.4963 | 0.0012 |
| Continuity Adj. Chi-Square | 1 | 9.3380 | 0.0022 |
| Mantel-Haenszel Chi-Square | 1 | 10.2391 | 0.0014 |
| Phi Coefficient | -0.2065 | ||
| Contingency Coefficient | 0.2023 | ||
| Cramer's V | -0.2065 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 18 |
| Left-sided Pr <= F | 0.0010 |
| Right-sided Pr >= F | 0.9997 |
| Table Probability (P) | 0.0007 |
| Two-sided Pr <= P | 0.0015 |
Sample Size = 241
|
|
||||||||||||||||||||||||||||
Statistics for Table 8 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=HAMPSHIRE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.1520 | 0.6966 |
| Likelihood Ratio Chi-Square | 1 | 0.1521 | 0.6965 |
| Continuity Adj. Chi-Square | 1 | 0.0034 | 0.9538 |
| Mantel-Haenszel Chi-Square | 1 | 0.1496 | 0.6989 |
| Phi Coefficient | -0.0491 | ||
| Contingency Coefficient | 0.0491 | ||
| Cramer's V | -0.0491 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 5 |
| Left-sided Pr <= F | 0.4766 |
| Right-sided Pr >= F | 0.7642 |
| Table Probability (P) | 0.2408 |
| Two-sided Pr <= P | 0.7500 |
Sample Size = 63
|
|
||||||||||||||||||||||||||||
Statistics for Table 9 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=MIDDLESEX
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 9.4717 | 0.0021 |
| Likelihood Ratio Chi-Square | 1 | 9.9401 | 0.0016 |
| Continuity Adj. Chi-Square | 1 | 8.8360 | 0.0030 |
| Mantel-Haenszel Chi-Square | 1 | 9.4553 | 0.0021 |
| Phi Coefficient | -0.1283 | ||
| Contingency Coefficient | 0.1273 | ||
| Cramer's V | -0.1283 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 30 |
| Left-sided Pr <= F | 0.0012 |
| Right-sided Pr >= F | 0.9994 |
| Table Probability (P) | 0.0006 |
| Two-sided Pr <= P | 0.0022 |
Sample Size = 575
|
|
||||||||||||||||||||||||||||
Statistics for Table 10 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=NANTUCKET
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 100% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.1429 | 0.2850 |
| Likelihood Ratio Chi-Square | 1 | 1.5296 | 0.2162 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 1.0000 | 0.3173 |
| Phi Coefficient | -0.3780 | ||
| Contingency Coefficient | 0.3536 | ||
| Cramer's V | -0.3780 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 0 |
| Left-sided Pr <= F | 0.5000 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.5000 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 8
|
|
||||||||||||||||||||||||||||
Statistics for Table 11 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=NORFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 4.9371 | 0.0263 |
| Likelihood Ratio Chi-Square | 1 | 5.4014 | 0.0201 |
| Continuity Adj. Chi-Square | 1 | 4.2328 | 0.0396 |
| Mantel-Haenszel Chi-Square | 1 | 4.9200 | 0.0265 |
| Phi Coefficient | -0.1309 | ||
| Contingency Coefficient | 0.1298 | ||
| Cramer's V | -0.1309 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 9 |
| Left-sided Pr <= F | 0.0169 |
| Right-sided Pr >= F | 0.9936 |
| Table Probability (P) | 0.0104 |
| Two-sided Pr <= P | 0.0317 |
Sample Size = 288
|
|
||||||||||||||||||||||||||||
Statistics for Table 12 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=PLYMOUTH
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 7.7890 | 0.0053 |
| Likelihood Ratio Chi-Square | 1 | 8.5311 | 0.0035 |
| Continuity Adj. Chi-Square | 1 | 7.0461 | 0.0079 |
| Mantel-Haenszel Chi-Square | 1 | 7.7701 | 0.0053 |
| Phi Coefficient | -0.1375 | ||
| Contingency Coefficient | 0.1362 | ||
| Cramer's V | -0.1375 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | 0.0029 |
| Right-sided Pr >= F | 0.9989 |
| Table Probability (P) | 0.0018 |
| Two-sided Pr <= P | 0.0060 |
Sample Size = 412
|
|
||||||||||||||||||||||||||||
Statistics for Table 13 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=SUFFOLK
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 3.0778 | 0.0794 |
| Likelihood Ratio Chi-Square | 1 | 3.3462 | 0.0674 |
| Continuity Adj. Chi-Square | 1 | 2.4879 | 0.1147 |
| Mantel-Haenszel Chi-Square | 1 | 3.0669 | 0.0799 |
| Phi Coefficient | -0.1047 | ||
| Contingency Coefficient | 0.1041 | ||
| Cramer's V | -0.1047 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 8 |
| Left-sided Pr <= F | 0.0533 |
| Right-sided Pr >= F | 0.9773 |
| Table Probability (P) | 0.0306 |
| Two-sided Pr <= P | 0.1098 |
Sample Size = 281
|
|
||||||||||||||||||||||||||||
Statistics for Table 14 of HCV_DIAG by DISCH_WITH_MOM
Controlling for county=WORCESTER
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 35.3266 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 37.8244 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 33.9433 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 35.2533 | <.0001 |
| Phi Coefficient | -0.2707 | ||
| Contingency Coefficient | 0.2613 | ||
| Cramer's V | -0.2707 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 17 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 482
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 1 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 63% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 5.8228 | 0.1206 |
| Likelihood Ratio Chi-Square | 3 | 6.7923 | 0.0788 |
| Mantel-Haenszel Chi-Square | 1 | 2.6152 | 0.1058 |
| Phi Coefficient | 0.0781 | ||
| Contingency Coefficient | 0.0778 | ||
| Cramer's V | 0.0781 | ||
Sample Size = 955
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 2 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 3 | 15.2248 | 0.0016 |
| Likelihood Ratio Chi-Square | 3 | 18.4380 | 0.0004 |
| Mantel-Haenszel Chi-Square | 1 | 13.1236 | 0.0003 |
| Phi Coefficient | 0.0800 | ||
| Contingency Coefficient | 0.0797 | ||
| Cramer's V | 0.0800 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 3 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
Row or column sum zero. No statistics computed for this table.
Sample Size = 18
|
|
||||||||||||||||||||||||||||||||||||
Statistics for Table 4 of LANGUAGE_SPOKEN_GROUP by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 3 | 5.6091 | 0.1323 |
| Likelihood Ratio Chi-Square | 3 | 6.2368 | 0.1006 |
| Mantel-Haenszel Chi-Square | 1 | 1.4278 | 0.2321 |
| Phi Coefficient | 0.1228 | ||
| Contingency Coefficient | 0.1219 | ||
| Cramer's V | 0.1228 | ||
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 1 of LD_PAY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
Row or column sum zero. No statistics computed for this table.
Sample Size = 955
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 2 of LD_PAY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 2 | 56.8381 | <.0001 |
| Likelihood Ratio Chi-Square | 2 | 61.2678 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 12.8073 | 0.0003 |
| Phi Coefficient | 0.1546 | ||
| Contingency Coefficient | 0.1528 | ||
| Cramer's V | 0.1546 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 3 of LD_PAY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 67% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 1.6698 | 0.4339 |
| Likelihood Ratio Chi-Square | 2 | 1.9887 | 0.3700 |
| Mantel-Haenszel Chi-Square | 1 | 1.4702 | 0.2253 |
| Phi Coefficient | 0.3046 | ||
| Contingency Coefficient | 0.2914 | ||
| Cramer's V | 0.3046 | ||
Sample Size = 18
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 4 of LD_PAY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 18.2425 | 0.0001 |
| Likelihood Ratio Chi-Square | 2 | 19.8404 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 13.2420 | 0.0003 |
| Phi Coefficient | 0.2214 | ||
| Contingency Coefficient | 0.2162 | ||
| Cramer's V | 0.2214 | ||
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 103.6609 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 107.9342 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 102.2669 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 103.5523 | <.0001 |
| Phi Coefficient | -0.3295 | ||
| Contingency Coefficient | 0.3129 | ||
| Cramer's V | -0.3295 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 76 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 955
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 363.7312 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 385.4308 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 362.0841 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 363.5783 | <.0001 |
| Phi Coefficient | -0.3910 | ||
| Contingency Coefficient | 0.3642 | ||
| Cramer's V | -0.3910 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 158 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.5357 | 0.0601 |
| Likelihood Ratio Chi-Square | 1 | 4.1822 | 0.0409 |
| Continuity Adj. Chi-Square | 1 | 1.2346 | 0.2665 |
| Mantel-Haenszel Chi-Square | 1 | 3.3393 | 0.0676 |
| Phi Coefficient | -0.4432 | ||
| Contingency Coefficient | 0.4052 | ||
| Cramer's V | -0.4432 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 5 |
| Left-sided Pr <= F | 0.1373 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.1373 |
| Two-sided Pr <= P | 0.1373 |
Sample Size = 18
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 66.8978 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 67.1316 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 65.0128 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 66.7180 | <.0001 |
| Phi Coefficient | -0.4241 | ||
| Contingency Coefficient | 0.3904 | ||
| Cramer's V | -0.4241 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 31 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 122.7021 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 124.3876 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 121.1781 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 122.5736 | <.0001 |
| Phi Coefficient | -0.3584 | ||
| Contingency Coefficient | 0.3374 | ||
| Cramer's V | -0.3584 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 98 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 955
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 366.1600 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 378.8856 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 364.5121 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 366.0061 | <.0001 |
| Phi Coefficient | -0.3923 | ||
| Contingency Coefficient | 0.3652 | ||
| Cramer's V | -0.3923 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 202 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.6639 | 0.1971 |
| Likelihood Ratio Chi-Square | 1 | 1.9825 | 0.1591 |
| Continuity Adj. Chi-Square | 1 | 0.0550 | 0.8146 |
| Mantel-Haenszel Chi-Square | 1 | 1.5714 | 0.2100 |
| Phi Coefficient | -0.3040 | ||
| Contingency Coefficient | 0.2909 | ||
| Cramer's V | -0.3040 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 6 |
| Left-sided Pr <= F | 0.3889 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.3889 |
| Two-sided Pr <= P | 0.3889 |
Sample Size = 18
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 58.8936 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 57.6849 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 57.0823 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 58.7353 | <.0001 |
| Phi Coefficient | -0.3979 | ||
| Contingency Coefficient | 0.3697 | ||
| Cramer's V | -0.3979 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 39 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 24.6660 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 25.1808 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 23.9798 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 24.6402 | <.0001 |
| Phi Coefficient | -0.1607 | ||
| Contingency Coefficient | 0.1587 | ||
| Cramer's V | -0.1607 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 97 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 955
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 99.0277 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 101.4826 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 98.1629 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 98.9861 | <.0001 |
| Phi Coefficient | -0.2040 | ||
| Contingency Coefficient | 0.1999 | ||
| Cramer's V | -0.2040 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 238 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.0394 | 0.3080 |
| Likelihood Ratio Chi-Square | 1 | 1.1081 | 0.2925 |
| Continuity Adj. Chi-Square | 1 | 0.2302 | 0.6314 |
| Mantel-Haenszel Chi-Square | 1 | 0.9816 | 0.3218 |
| Phi Coefficient | 0.2403 | ||
| Contingency Coefficient | 0.2336 | ||
| Cramer's V | 0.2403 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 6 |
| Left-sided Pr <= F | 0.9461 |
| Right-sided Pr >= F | 0.3235 |
| Table Probability (P) | 0.2696 |
| Two-sided Pr <= P | 0.5956 |
Sample Size = 18
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 16.1425 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 16.2588 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 15.2415 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 16.0991 | <.0001 |
| Phi Coefficient | -0.2083 | ||
| Contingency Coefficient | 0.2039 | ||
| Cramer's V | -0.2083 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 40 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 9.9748 | 0.0016 |
| Likelihood Ratio Chi-Square | 1 | 10.4647 | 0.0012 |
| Continuity Adj. Chi-Square | 1 | 9.4277 | 0.0021 |
| Mantel-Haenszel Chi-Square | 1 | 9.9644 | 0.0016 |
| Phi Coefficient | 0.1022 | ||
| Contingency Coefficient | 0.1017 | ||
| Cramer's V | 0.1022 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 278 |
| Left-sided Pr <= F | 0.9996 |
| Right-sided Pr >= F | 0.0009 |
| Table Probability (P) | 0.0004 |
| Two-sided Pr <= P | 0.0015 |
Sample Size = 955
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 19.6021 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 20.3392 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 19.1236 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 19.5939 | <.0001 |
| Phi Coefficient | 0.0908 | ||
| Contingency Coefficient | 0.0904 | ||
| Cramer's V | 0.0908 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 704 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0117 | 0.9139 |
| Likelihood Ratio Chi-Square | 1 | 0.0117 | 0.9139 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0110 | 0.9163 |
| Phi Coefficient | 0.0255 | ||
| Contingency Coefficient | 0.0255 | ||
| Cramer's V | 0.0255 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.7217 |
| Right-sided Pr >= F | 0.6478 |
| Table Probability (P) | 0.3695 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 18
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.9081 | 0.0010 |
| Likelihood Ratio Chi-Square | 1 | 11.6409 | 0.0006 |
| Continuity Adj. Chi-Square | 1 | 10.0993 | 0.0015 |
| Mantel-Haenszel Chi-Square | 1 | 10.8788 | 0.0010 |
| Phi Coefficient | 0.1712 | ||
| Contingency Coefficient | 0.1688 | ||
| Cramer's V | 0.1712 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 91 |
| Left-sided Pr <= F | 0.9998 |
| Right-sided Pr >= F | 0.0005 |
| Table Probability (P) | 0.0003 |
| Two-sided Pr <= P | 0.0011 |
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=19-25
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 14.9070 | 0.0001 |
| Likelihood Ratio Chi-Square | 1 | 15.8582 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 14.2365 | 0.0002 |
| Mantel-Haenszel Chi-Square | 1 | 14.8914 | 0.0001 |
| Phi Coefficient | -0.1249 | ||
| Contingency Coefficient | 0.1240 | ||
| Cramer's V | -0.1249 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 38 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | 0.0001 |
Sample Size = 955
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=26-35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 41.1549 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 43.9467 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 40.4338 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 41.1376 | <.0001 |
| Phi Coefficient | -0.1315 | ||
| Contingency Coefficient | 0.1304 | ||
| Cramer's V | -0.1315 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 89 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2379
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of HCV_DIAG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=<=18
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 4.4056 | 0.0358 |
| Likelihood Ratio Chi-Square | 1 | 6.1121 | 0.0134 |
| Continuity Adj. Chi-Square | 1 | 2.4312 | 0.1189 |
| Mantel-Haenszel Chi-Square | 1 | 4.1608 | 0.0414 |
| Phi Coefficient | -0.4947 | ||
| Contingency Coefficient | 0.4434 | ||
| Cramer's V | -0.4947 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 0 |
| Left-sided Pr <= F | 0.0539 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.0539 |
| Two-sided Pr <= P | 0.1013 |
Sample Size = 18
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of HCV_DIAG by DISCH_WITH_MOM
Controlling for AGE_BIRTH_GROUP=>35
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 28.5633 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 32.0669 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 27.2735 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 28.4865 | <.0001 |
| Phi Coefficient | -0.2771 | ||
| Contingency Coefficient | 0.2670 | ||
| Cramer's V | -0.2771 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 13 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 372
The FREQ Procedure
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 1 of LD_PAY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=English
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 2 | 64.7755 | <.0001 |
| Likelihood Ratio Chi-Square | 2 | 68.2091 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 18.6922 | <.0001 |
| Phi Coefficient | 0.1338 | ||
| Contingency Coefficient | 0.1326 | ||
| Cramer's V | 0.1338 |
Sample Size = 3617
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 2 of LD_PAY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Other
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 83% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 0.9714 | 0.6153 |
| Likelihood Ratio Chi-Square | 2 | 1.6638 | 0.4352 |
| Mantel-Haenszel Chi-Square | 1 | 0.3416 | 0.5589 |
| Phi Coefficient | 0.1690 | ||
| Contingency Coefficient | 0.1667 | ||
| Cramer's V | 0.1690 | ||
Sample Size = 34
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 3 of LD_PAY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Refused or Unknown
Row or column sum zero. No statistics computed for this table.
Sample Size = 14
|
|
||||||||||||||||||||||||||||||||
Statistics for Table 4 of LD_PAY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Spanish
Row or column sum zero. No statistics computed for this table.
Sample Size = 59
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=English
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 503.1590 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 528.7254 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 501.5872 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 503.0199 | <.0001 |
| Phi Coefficient | -0.3730 | ||
| Contingency Coefficient | 0.3495 | ||
| Cramer's V | -0.3730 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 263 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3617
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Other
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 7.7273 | 0.0054 |
| Likelihood Ratio Chi-Square | 1 | 4.5243 | 0.0334 |
| Continuity Adj. Chi-Square | 1 | 1.4510 | 0.2284 |
| Mantel-Haenszel Chi-Square | 1 | 7.5000 | 0.0062 |
| Phi Coefficient | -0.4767 | ||
| Contingency Coefficient | 0.4303 | ||
| Cramer's V | -0.4767 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.1176 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.1176 |
| Two-sided Pr <= P | 0.1176 |
Sample Size = 34
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Refused or Unknown
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0259 | 0.8721 |
| Likelihood Ratio Chi-Square | 1 | 0.0260 | 0.8719 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0241 | 0.8767 |
| Phi Coefficient | -0.0430 | ||
| Contingency Coefficient | 0.0430 | ||
| Cramer's V | -0.0430 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.6573 |
| Right-sided Pr >= F | 0.7622 |
| Table Probability (P) | 0.4196 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 14
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Spanish
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 13.6570 | 0.0002 |
| Likelihood Ratio Chi-Square | 1 | 9.6376 | 0.0019 |
| Continuity Adj. Chi-Square | 1 | 9.5885 | 0.0020 |
| Mantel-Haenszel Chi-Square | 1 | 13.4255 | 0.0002 |
| Phi Coefficient | -0.4811 | ||
| Contingency Coefficient | 0.4335 | ||
| Cramer's V | -0.4811 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.0036 |
| Right-sided Pr >= F | 0.9999 |
| Table Probability (P) | 0.0034 |
| Two-sided Pr <= P | 0.0036 |
Sample Size = 59
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=English
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 522.8435 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 536.4236 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 521.2414 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 522.6990 | <.0001 |
| Phi Coefficient | -0.3802 | ||
| Contingency Coefficient | 0.3554 | ||
| Cramer's V | -0.3802 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 336 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3617
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Other
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 7.7273 | 0.0054 |
| Likelihood Ratio Chi-Square | 1 | 4.5243 | 0.0334 |
| Continuity Adj. Chi-Square | 1 | 1.4510 | 0.2284 |
| Mantel-Haenszel Chi-Square | 1 | 7.5000 | 0.0062 |
| Phi Coefficient | -0.4767 | ||
| Contingency Coefficient | 0.4303 | ||
| Cramer's V | -0.4767 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.1176 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.1176 |
| Two-sided Pr <= P | 0.1176 |
Sample Size = 34
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Refused or Unknown
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0259 | 0.8721 |
| Likelihood Ratio Chi-Square | 1 | 0.0260 | 0.8719 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0241 | 0.8767 |
| Phi Coefficient | 0.0430 | ||
| Contingency Coefficient | 0.0430 | ||
| Cramer's V | 0.0430 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.7622 |
| Right-sided Pr >= F | 0.6573 |
| Table Probability (P) | 0.4196 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 14
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Spanish
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 25% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 7.5674 | 0.0059 |
| Likelihood Ratio Chi-Square | 1 | 5.3931 | 0.0202 |
| Continuity Adj. Chi-Square | 1 | 4.5021 | 0.0339 |
| Mantel-Haenszel Chi-Square | 1 | 7.4391 | 0.0064 |
| Phi Coefficient | -0.3581 | ||
| Contingency Coefficient | 0.3372 | ||
| Cramer's V | -0.3581 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.0279 |
| Right-sided Pr >= F | 0.9980 |
| Table Probability (P) | 0.0259 |
| Two-sided Pr <= P | 0.0279 |
Sample Size = 59
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=English
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 130.5654 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 133.4130 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 129.7592 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 130.5293 | <.0001 |
| Phi Coefficient | -0.1900 | ||
| Contingency Coefficient | 0.1867 | ||
| Cramer's V | -0.1900 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 375 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3617
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Other
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.7537 | 0.1854 |
| Likelihood Ratio Chi-Square | 1 | 1.7829 | 0.1818 |
| Continuity Adj. Chi-Square | 1 | 0.6213 | 0.4305 |
| Mantel-Haenszel Chi-Square | 1 | 1.7021 | 0.1920 |
| Phi Coefficient | -0.2271 | ||
| Contingency Coefficient | 0.2215 | ||
| Cramer's V | -0.2271 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 0.2158 |
| Right-sided Pr >= F | 0.9706 |
| Table Probability (P) | 0.1864 |
| Two-sided Pr <= P | 0.2994 |
Sample Size = 34
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Refused or Unknown
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 100% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.3111 | 0.5770 |
| Likelihood Ratio Chi-Square | 1 | 0.3127 | 0.5760 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.2889 | 0.5909 |
| Phi Coefficient | 0.1491 | ||
| Contingency Coefficient | 0.1474 | ||
| Cramer's V | 0.1491 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.8671 |
| Right-sided Pr >= F | 0.5000 |
| Table Probability (P) | 0.3671 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 14
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Spanish
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 2.4653 | 0.1164 |
| Likelihood Ratio Chi-Square | 1 | 2.3743 | 0.1234 |
| Continuity Adj. Chi-Square | 1 | 1.2651 | 0.2607 |
| Mantel-Haenszel Chi-Square | 1 | 2.4235 | 0.1195 |
| Phi Coefficient | -0.2044 | ||
| Contingency Coefficient | 0.2003 | ||
| Cramer's V | -0.2044 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.1314 |
| Right-sided Pr >= F | 0.9767 |
| Table Probability (P) | 0.1081 |
| Two-sided Pr <= P | 0.1830 |
Sample Size = 59
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=English
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 30.0945 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 31.2409 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 29.6129 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 30.0861 | <.0001 |
| Phi Coefficient | 0.0912 | ||
| Contingency Coefficient | 0.0908 | ||
| Cramer's V | 0.0912 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1064 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3617
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Other
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.5789 | 0.0585 |
| Likelihood Ratio Chi-Square | 1 | 5.0735 | 0.0243 |
| Continuity Adj. Chi-Square | 1 | 1.8382 | 0.1752 |
| Mantel-Haenszel Chi-Square | 1 | 3.4737 | 0.0624 |
| Phi Coefficient | 0.3244 | ||
| Contingency Coefficient | 0.3086 | ||
| Cramer's V | 0.3244 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | 0.0836 |
| Table Probability (P) | 0.0836 |
| Two-sided Pr <= P | 0.1130 |
Sample Size = 34
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Refused or Unknown
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.2963 | 0.2549 |
| Likelihood Ratio Chi-Square | 1 | 1.9485 | 0.1627 |
| Continuity Adj. Chi-Square | 1 | 0.1167 | 0.7327 |
| Mantel-Haenszel Chi-Square | 1 | 1.2037 | 0.2726 |
| Phi Coefficient | 0.3043 | ||
| Contingency Coefficient | 0.2911 | ||
| Cramer's V | 0.3043 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 5 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | 0.3956 |
| Table Probability (P) | 0.3956 |
| Two-sided Pr <= P | 0.5055 |
Sample Size = 14
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Spanish
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.6144 | 0.2039 |
| Likelihood Ratio Chi-Square | 1 | 1.6010 | 0.2058 |
| Continuity Adj. Chi-Square | 1 | 0.6968 | 0.4039 |
| Mantel-Haenszel Chi-Square | 1 | 1.5870 | 0.2078 |
| Phi Coefficient | 0.1654 | ||
| Contingency Coefficient | 0.1632 | ||
| Cramer's V | 0.1654 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 4 |
| Left-sided Pr <= F | 0.9560 |
| Right-sided Pr >= F | 0.2015 |
| Table Probability (P) | 0.1575 |
| Two-sided Pr <= P | 0.3858 |
Sample Size = 59
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=English
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 73.6040 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 78.9282 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 72.8355 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 73.5836 | <.0001 |
| Phi Coefficient | -0.1427 | ||
| Contingency Coefficient | 0.1412 | ||
| Cramer's V | -0.1427 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 137 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 3617
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Other
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.0000 | 1.0000 |
| Likelihood Ratio Chi-Square | 1 | 0.0000 | 1.0000 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.0000 | 1.0000 |
| Phi Coefficient | 0.0000 | ||
| Contingency Coefficient | 0.0000 | ||
| Cramer's V | 0.0000 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 2 |
| Left-sided Pr <= F | 0.6994 |
| Right-sided Pr >= F | 0.6994 |
| Table Probability (P) | 0.3988 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 34
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Refused or Unknown
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 1.2963 | 0.2549 |
| Likelihood Ratio Chi-Square | 1 | 1.9485 | 0.1627 |
| Continuity Adj. Chi-Square | 1 | 0.1167 | 0.7327 |
| Mantel-Haenszel Chi-Square | 1 | 1.2037 | 0.2726 |
| Phi Coefficient | -0.3043 | ||
| Contingency Coefficient | 0.2911 | ||
| Cramer's V | -0.3043 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 0 |
| Left-sided Pr <= F | 0.3956 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | 0.3956 |
| Two-sided Pr <= P | 0.5055 |
Sample Size = 14
|
|
||||||||||||||||||||||||||||
Statistics for Table 4 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LANGUAGE_SPOKEN_GROUP=Spanish
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 2.8203 | 0.0931 |
| Likelihood Ratio Chi-Square | 1 | 3.0640 | 0.0800 |
| Continuity Adj. Chi-Square | 1 | 1.5590 | 0.2118 |
| Mantel-Haenszel Chi-Square | 1 | 2.7725 | 0.0959 |
| Phi Coefficient | -0.2186 | ||
| Contingency Coefficient | 0.2136 | ||
| Cramer's V | -0.2186 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 0.1049 |
| Right-sided Pr >= F | 0.9868 |
| Table Probability (P) | 0.0917 |
| Two-sided Pr <= P | 0.1945 |
Sample Size = 59
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LD_PAY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 348.5549 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 367.0668 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 347.1048 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 348.4347 | <.0001 |
| Phi Coefficient | -0.3467 | ||
| Contingency Coefficient | 0.3276 | ||
| Cramer's V | -0.3467 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 218 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2900
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LD_PAY=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 154.8376 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 149.2539 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 152.6252 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 154.6459 | <.0001 |
| Phi Coefficient | -0.4378 | ||
| Contingency Coefficient | 0.4010 | ||
| Cramer's V | -0.4378 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 49 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 808
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_DURING_PREG by DISCH_WITH_MOM
Controlling for LD_PAY=9
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.8834 | 0.0488 |
| Likelihood Ratio Chi-Square | 1 | 4.0351 | 0.0446 |
| Continuity Adj. Chi-Square | 1 | 2.0364 | 0.1536 |
| Mantel-Haenszel Chi-Square | 1 | 3.6407 | 0.0564 |
| Phi Coefficient | -0.4927 | ||
| Contingency Coefficient | 0.4419 | ||
| Cramer's V | -0.4927 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.0769 |
| Right-sided Pr >= F | 0.9952 |
| Table Probability (P) | 0.0721 |
| Two-sided Pr <= P | 0.1058 |
Sample Size = 16
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LD_PAY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 367.3106 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 378.6747 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 365.8380 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 367.1839 | <.0001 |
| Phi Coefficient | -0.3559 | ||
| Contingency Coefficient | 0.3353 | ||
| Cramer's V | -0.3559 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 283 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2900
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LD_PAY=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 153.3466 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 143.2052 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 151.0694 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 153.1568 | <.0001 |
| Phi Coefficient | -0.4356 | ||
| Contingency Coefficient | 0.3994 | ||
| Cramer's V | -0.4356 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 59 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 808
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for LD_PAY=9
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 75% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 3.8834 | 0.0488 |
| Likelihood Ratio Chi-Square | 1 | 4.0351 | 0.0446 |
| Continuity Adj. Chi-Square | 1 | 2.0364 | 0.1536 |
| Mantel-Haenszel Chi-Square | 1 | 3.6407 | 0.0564 |
| Phi Coefficient | -0.4927 | ||
| Contingency Coefficient | 0.4419 | ||
| Cramer's V | -0.4927 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 3 |
| Left-sided Pr <= F | 0.0769 |
| Right-sided Pr >= F | 0.9952 |
| Table Probability (P) | 0.0721 |
| Two-sided Pr <= P | 0.1058 |
Sample Size = 16
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LD_PAY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 74.3822 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 75.8479 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 73.7048 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 74.3565 | <.0001 |
| Phi Coefficient | -0.1602 | ||
| Contingency Coefficient | 0.1581 | ||
| Cramer's V | -0.1602 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 313 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2900
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LD_PAY=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 52.2739 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 51.8466 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 51.0411 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 52.2092 | <.0001 |
| Phi Coefficient | -0.2544 | ||
| Contingency Coefficient | 0.2465 | ||
| Cramer's V | -0.2544 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 63 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 808
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for LD_PAY=9
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 100% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 2.2857 | 0.1306 |
| Likelihood Ratio Chi-Square | 1 | 2.3477 | 0.1255 |
| Continuity Adj. Chi-Square | 1 | 1.0159 | 0.3135 |
| Mantel-Haenszel Chi-Square | 1 | 2.1429 | 0.1432 |
| Phi Coefficient | 0.3780 | ||
| Contingency Coefficient | 0.3536 | ||
| Cramer's V | 0.3780 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 5 |
| Left-sided Pr <= F | 0.9797 |
| Right-sided Pr >= F | 0.1573 |
| Table Probability (P) | 0.1371 |
| Two-sided Pr <= P | 0.3147 |
Sample Size = 16
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LD_PAY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 25.0333 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 25.9066 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 24.5390 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 25.0246 | <.0001 |
| Phi Coefficient | 0.0929 | ||
| Contingency Coefficient | 0.0925 | ||
| Cramer's V | 0.0929 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 927 |
| Left-sided Pr <= F | 1.0000 |
| Right-sided Pr >= F | <.0001 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2900
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LD_PAY=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 6.8934 | 0.0087 |
| Likelihood Ratio Chi-Square | 1 | 7.2391 | 0.0071 |
| Continuity Adj. Chi-Square | 1 | 6.4064 | 0.0114 |
| Mantel-Haenszel Chi-Square | 1 | 6.8849 | 0.0087 |
| Phi Coefficient | 0.0924 | ||
| Contingency Coefficient | 0.0920 | ||
| Cramer's V | 0.0924 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 144 |
| Left-sided Pr <= F | 0.9973 |
| Right-sided Pr >= F | 0.0049 |
| Table Probability (P) | 0.0022 |
| Two-sided Pr <= P | 0.0082 |
Sample Size = 808
|
|
||||||||||||||||||||||||||||
Statistics for Table 3 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for LD_PAY=9
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.1628 | 0.6866 |
| Likelihood Ratio Chi-Square | 1 | 0.1661 | 0.6836 |
| Continuity Adj. Chi-Square | 1 | 0.0000 | 1.0000 |
| Mantel-Haenszel Chi-Square | 1 | 0.1526 | 0.6960 |
| Phi Coefficient | 0.1009 | ||
| Contingency Coefficient | 0.1004 | ||
| Cramer's V | 0.1009 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 6 |
| Left-sided Pr <= F | 0.8500 |
| Right-sided Pr >= F | 0.6000 |
| Table Probability (P) | 0.4500 |
| Two-sided Pr <= P | 1.0000 |
Sample Size = 16
The FREQ Procedure
|
|
||||||||||||||||||||||||||||
Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LD_PAY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 26.6233 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 27.8603 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 26.0620 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 26.6142 | <.0001 |
| Phi Coefficient | -0.0958 | ||
| Contingency Coefficient | 0.0954 | ||
| Cramer's V | -0.0958 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 108 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2900
|
|
||||||||||||||||||||||||||||
Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LD_PAY=2
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 39.3144 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 42.9421 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 38.2248 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 39.2657 | <.0001 |
| Phi Coefficient | -0.2206 | ||
| Contingency Coefficient | 0.2154 | ||
| Cramer's V | -0.2206 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 31 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 808
|
|
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Statistics for Table 3 of HCV_DIAG by DISCH_WITH_MOM
Controlling for LD_PAY=9
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 1 | 0.7619 | 0.3827 |
| Likelihood Ratio Chi-Square | 1 | 0.7958 | 0.3723 |
| Continuity Adj. Chi-Square | 1 | 0.0847 | 0.7711 |
| Mantel-Haenszel Chi-Square | 1 | 0.7143 | 0.3980 |
| Phi Coefficient | -0.2182 | ||
| Contingency Coefficient | 0.2132 | ||
| Cramer's V | -0.2182 | ||
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 1 |
| Left-sided Pr <= F | 0.3923 |
| Right-sided Pr >= F | 0.9308 |
| Table Probability (P) | 0.3231 |
| Two-sided Pr <= P | 0.5846 |
Sample Size = 16
The FREQ Procedure
|
|
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Statistics for Table 1 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=0
Row or column sum zero. No statistics computed for this table.
Sample Size = 1781
|
|
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Statistics for Table 2 of MOUD_AT_DELIVERY by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 37.5029 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 38.1545 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 36.6523 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 37.4836 | <.0001 |
| Phi Coefficient | -0.1389 | ||
| Contingency Coefficient | 0.1376 | ||
| Cramer's V | -0.1389 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 75 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 1943
The FREQ Procedure
|
|
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Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 19.6749 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 19.6205 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 19.0910 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 19.6638 | <.0001 |
| Phi Coefficient | -0.1051 | ||
| Contingency Coefficient | 0.1045 | ||
| Cramer's V | -0.1051 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 113 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 1781
|
|
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Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 40.2352 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 40.3884 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 39.6286 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 40.2145 | <.0001 |
| Phi Coefficient | -0.1439 | ||
| Contingency Coefficient | 0.1424 | ||
| Cramer's V | -0.1439 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 268 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 1943
The FREQ Procedure
|
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Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 8.6619 | 0.0032 |
| Likelihood Ratio Chi-Square | 1 | 9.0877 | 0.0026 |
| Continuity Adj. Chi-Square | 1 | 8.2402 | 0.0041 |
| Mantel-Haenszel Chi-Square | 1 | 8.6570 | 0.0033 |
| Phi Coefficient | 0.0697 | ||
| Contingency Coefficient | 0.0696 | ||
| Cramer's V | 0.0697 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 211 |
| Left-sided Pr <= F | 0.9990 |
| Right-sided Pr >= F | 0.0017 |
| Table Probability (P) | 0.0007 |
| Two-sided Pr <= P | 0.0029 |
Sample Size = 1781
|
|
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Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.3267 | 0.5676 |
| Likelihood Ratio Chi-Square | 1 | 0.3268 | 0.5675 |
| Continuity Adj. Chi-Square | 1 | 0.2522 | 0.6155 |
| Mantel-Haenszel Chi-Square | 1 | 0.3265 | 0.5677 |
| Phi Coefficient | -0.0130 | ||
| Contingency Coefficient | 0.0130 | ||
| Cramer's V | -0.0130 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 866 |
| Left-sided Pr <= F | 0.3079 |
| Right-sided Pr >= F | 0.7391 |
| Table Probability (P) | 0.0470 |
| Two-sided Pr <= P | 0.5797 |
Sample Size = 1943
The FREQ Procedure
|
|
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Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 18.0538 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 19.2620 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 17.4562 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 18.0436 | <.0001 |
| Phi Coefficient | -0.1007 | ||
| Contingency Coefficient | 0.1002 | ||
| Cramer's V | -0.1007 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 56 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 1781
|
|
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Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOUD_DURING_PREG=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.5484 | 0.4590 |
| Likelihood Ratio Chi-Square | 1 | 0.5491 | 0.4587 |
| Continuity Adj. Chi-Square | 1 | 0.4317 | 0.5111 |
| Mantel-Haenszel Chi-Square | 1 | 0.5482 | 0.4591 |
| Phi Coefficient | 0.0168 | ||
| Contingency Coefficient | 0.0168 | ||
| Cramer's V | 0.0168 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 84 |
| Left-sided Pr <= F | 0.7950 |
| Right-sided Pr >= F | 0.2557 |
| Table Probability (P) | 0.0507 |
| Two-sided Pr <= P | 0.5043 |
Sample Size = 1943
The FREQ Procedure
|
|
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Statistics for Table 1 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOUD_AT_DELIVERY=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 24.4102 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 24.4615 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 23.8286 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 24.3981 | <.0001 |
| Phi Coefficient | -0.1101 | ||
| Contingency Coefficient | 0.1094 | ||
| Cramer's V | -0.1101 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 139 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2014
|
|
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Statistics for Table 2 of MATINF_HEPC by DISCH_WITH_MOM
Controlling for MOUD_AT_DELIVERY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 39.7557 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 39.7832 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 39.1087 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 39.7325 | <.0001 |
| Phi Coefficient | -0.1525 | ||
| Contingency Coefficient | 0.1507 | ||
| Cramer's V | -0.1525 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 242 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 1710
The FREQ Procedure
|
|
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Statistics for Table 1 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOUD_AT_DELIVERY=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 10.9255 | 0.0009 |
| Likelihood Ratio Chi-Square | 1 | 11.5014 | 0.0007 |
| Continuity Adj. Chi-Square | 1 | 10.4907 | 0.0012 |
| Mantel-Haenszel Chi-Square | 1 | 10.9201 | 0.0010 |
| Phi Coefficient | 0.0737 | ||
| Contingency Coefficient | 0.0735 | ||
| Cramer's V | 0.0737 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 276 |
| Left-sided Pr <= F | 0.9997 |
| Right-sided Pr >= F | 0.0005 |
| Table Probability (P) | 0.0002 |
| Two-sided Pr <= P | 0.0009 |
Sample Size = 2014
|
|
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Statistics for Table 2 of MOM_DISEASE_STATUS_HCV by DISCH_WITH_MOM
Controlling for MOUD_AT_DELIVERY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.0447 | 0.8325 |
| Likelihood Ratio Chi-Square | 1 | 0.0448 | 0.8325 |
| Continuity Adj. Chi-Square | 1 | 0.0190 | 0.8903 |
| Mantel-Haenszel Chi-Square | 1 | 0.0447 | 0.8326 |
| Phi Coefficient | -0.0051 | ||
| Contingency Coefficient | 0.0051 | ||
| Cramer's V | -0.0051 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 801 |
| Left-sided Pr <= F | 0.4457 |
| Right-sided Pr >= F | 0.6117 |
| Table Probability (P) | 0.0574 |
| Two-sided Pr <= P | 0.8831 |
Sample Size = 1710
The FREQ Procedure
|
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Statistics for Table 1 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOUD_AT_DELIVERY=0
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 23.2021 | <.0001 |
| Likelihood Ratio Chi-Square | 1 | 24.9369 | <.0001 |
| Continuity Adj. Chi-Square | 1 | 22.5804 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 23.1906 | <.0001 |
| Phi Coefficient | -0.1073 | ||
| Contingency Coefficient | 0.1067 | ||
| Cramer's V | -0.1073 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 64 |
| Left-sided Pr <= F | <.0001 |
| Right-sided Pr >= F | 1.0000 |
| Table Probability (P) | <.0001 |
| Two-sided Pr <= P | <.0001 |
Sample Size = 2014
|
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Statistics for Table 2 of HCV_DIAG by DISCH_WITH_MOM
Controlling for MOUD_AT_DELIVERY=1
| Statistic | DF | Value | Prob |
|---|---|---|---|
| Chi-Square | 1 | 0.7413 | 0.3892 |
| Likelihood Ratio Chi-Square | 1 | 0.7442 | 0.3883 |
| Continuity Adj. Chi-Square | 1 | 0.5936 | 0.4410 |
| Mantel-Haenszel Chi-Square | 1 | 0.7409 | 0.3894 |
| Phi Coefficient | 0.0208 | ||
| Contingency Coefficient | 0.0208 | ||
| Cramer's V | 0.0208 |
| Fisher's Exact Test | |
|---|---|
| Cell (1,1) Frequency (F) | 76 |
| Left-sided Pr <= F | 0.8293 |
| Right-sided Pr >= F | 0.2208 |
| Table Probability (P) | 0.0501 |
| Two-sided Pr <= P | 0.4159 |
Sample Size = 1710
The FREQ Procedure
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Statistics for Table of final_re by foreign_born
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 10 | 53.4585 | <.0001 |
| Likelihood Ratio Chi-Square | 10 | 28.9228 | 0.0013 |
| Mantel-Haenszel Chi-Square | 1 | 2.6691 | 0.1023 |
| Phi Coefficient | 0.4652 | ||
| Contingency Coefficient | 0.4218 | ||
| Cramer's V | 0.3290 | ||
Sample Size = 247
The FREQ Procedure
|
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Statistics for Table of final_re by LANGUAGE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 73% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 20 | 62.6679 | <.0001 |
| Likelihood Ratio Chi-Square | 20 | 55.2410 | <.0001 |
| Mantel-Haenszel Chi-Square | 1 | 6.0476 | 0.0139 |
| Phi Coefficient | 0.5037 | ||
| Contingency Coefficient | 0.4499 | ||
| Cramer's V | 0.2519 | ||
Sample Size = 247
The FREQ Procedure
|
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Statistics for Table of final_re by final_sex
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 5 | 10.9573 | 0.0522 |
| Likelihood Ratio Chi-Square | 5 | 12.3981 | 0.0297 |
| Mantel-Haenszel Chi-Square | 1 | 0.0981 | 0.7541 |
| Phi Coefficient | 0.2106 | ||
| Contingency Coefficient | 0.2061 | ||
| Cramer's V | 0.2106 | ||
Sample Size = 247
The FREQ Procedure
|
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Statistics for Table of foreign_born by LANGUAGE
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 53% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 8 | 21.5265 | 0.0059 |
| Likelihood Ratio Chi-Square | 8 | 21.7132 | 0.0055 |
| Mantel-Haenszel Chi-Square | 1 | 0.1052 | 0.7456 |
| Phi Coefficient | 0.2952 | ||
| Contingency Coefficient | 0.2831 | ||
| Cramer's V | 0.2087 | ||
Sample Size = 247
The FREQ Procedure
|
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Statistics for Table of foreign_born by final_sex
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 33% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 2 | 7.4262 | 0.0244 |
| Likelihood Ratio Chi-Square | 2 | 7.4641 | 0.0239 |
| Mantel-Haenszel Chi-Square | 1 | 5.4324 | 0.0198 |
| Phi Coefficient | 0.1734 | ||
| Contingency Coefficient | 0.1708 | ||
| Cramer's V | 0.1734 | ||
Sample Size = 247
The FREQ Procedure
|
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Statistics for Table of LANGUAGE by final_sex
| Statistic | DF | Value | Prob |
|---|---|---|---|
| WARNING: 30% of the cells have expected counts less than 5. Chi-Square may not be a valid test. |
|||
| Chi-Square | 4 | 3.9863 | 0.4079 |
| Likelihood Ratio Chi-Square | 4 | 4.3435 | 0.3615 |
| Mantel-Haenszel Chi-Square | 1 | 0.0067 | 0.9347 |
| Phi Coefficient | 0.1270 | ||
| Contingency Coefficient | 0.1260 | ||
| Cramer's V | 0.1270 | ||
Sample Size = 247
The FREQ Procedure
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The FREQ Procedure
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| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | FACILITY_ID_BIRTH | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | 0.009891 | 0.09045 | 1.00994 | 0.84586 | 1.20585 | 0.91293 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.05405 | 0.07688 | 0.94739 | 0.81486 | 1.10147 | 0.48214 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.09834 | 0.03660 | 0.90634 | 0.84360 | 0.97375 | 0.00725 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | -0.00435 | 0.03246 | 0.99566 | 0.93430 | 1.06106 | 0.89343 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.5583 | 0.4745 | 0.57215 | 0.22572 | 1.45028 | 0.23943 | |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.08793 | 0.03800 | 0.91583 | 0.85010 | 0.98665 | 0.02075 | |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.09522 | 0.02082 | 0.90917 | 0.87282 | 0.94703 | 0.00000 | |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.04529 | 0.1170 | 1.04633 | 0.83184 | 1.31612 | 0.69883 | |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.1055 | 0.01845 | 1.11129 | 1.07181 | 1.15222 | 0.00000 | |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 14 | MATINF_HEPC | _ | _ | _ | _ | Yes | _ | 0.1636 | 0.01678 | 1.17771 | 1.13961 | 1.21708 | 0.00000 | |
| 15 | MATINF_HEPC | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . | |
| 16 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2006 | _ | -0.03568 | 0.07574 | 0.96495 | 0.83183 | 1.11938 | 0.63765 |
| 17 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2007 | _ | 0.01486 | 0.05707 | 1.01497 | 0.90756 | 1.13510 | 0.79455 |
| 18 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2014 | _ | -0.1168 | 0.07148 | 0.88979 | 0.77347 | 1.02360 | 0.10241 |
| 19 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2018 | _ | 0.2838 | 0.09745 | 1.32811 | 1.09719 | 1.60763 | 0.00362 |
| 20 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2020 | _ | 0.08339 | 0.07225 | 1.08697 | 0.94344 | 1.25233 | 0.24851 |
| 21 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2022 | _ | 0.2621 | 0.08865 | 1.29966 | 1.09237 | 1.54629 | 0.00313 |
| 22 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2036 | _ | -0.08455 | 0.07485 | 0.91893 | 0.79354 | 1.06413 | 0.25874 |
| 23 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2040 | _ | -0.03225 | 0.05358 | 0.96826 | 0.87173 | 1.07548 | 0.54724 |
| 24 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2042 | _ | -0.3926 | 0.4618 | 0.67528 | 0.27315 | 1.66944 | 0.39528 |
| 25 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2044 | _ | -0.06148 | 0.1827 | 0.94037 | 0.65728 | 1.34539 | 0.73654 |
| 26 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2052 | _ | -0.08475 | 0.2487 | 0.91874 | 0.56427 | 1.49588 | 0.73330 |
| 27 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2058 | _ | 0.1168 | 0.06975 | 1.12386 | 0.98025 | 1.28851 | 0.09423 |
| 28 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2069 | _ | 0.1328 | 0.05984 | 1.14204 | 1.01566 | 1.28415 | 0.02651 |
| 29 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2071 | _ | 0.1335 | 0.09559 | 1.14284 | 0.94758 | 1.37832 | 0.16258 |
| 30 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2075 | _ | 0.1489 | 0.08972 | 1.16055 | 0.97340 | 1.38368 | 0.09711 |
| 31 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2082 | _ | 0.08307 | 0.06566 | 1.08662 | 0.95540 | 1.23586 | 0.20592 |
| 32 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2085 | _ | 0.01928 | 0.07104 | 1.01947 | 0.88696 | 1.17178 | 0.78607 |
| 33 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2094 | _ | 0.02772 | 0.07568 | 1.02811 | 0.88637 | 1.19250 | 0.71421 |
| 34 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2099 | _ | 0.07115 | 0.07058 | 1.07374 | 0.93503 | 1.23304 | 0.31346 |
| 35 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2100 | _ | 0.1605 | 0.09023 | 1.17406 | 0.98375 | 1.40120 | 0.07542 |
| 36 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2105 | _ | 0.04354 | 0.07634 | 1.04450 | 0.89934 | 1.21309 | 0.56852 |
| 37 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2106 | _ | 0.07373 | 0.07519 | 1.07651 | 0.92901 | 1.24744 | 0.32685 |
| 38 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2107 | _ | 0.006359 | 0.04832 | 1.00638 | 0.91544 | 1.10636 | 0.89532 |
| 39 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2108 | _ | 0.01070 | 0.08953 | 1.01076 | 0.84808 | 1.20464 | 0.90485 |
| 40 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2114 | _ | 0.001007 | 0.1279 | 1.00101 | 0.77899 | 1.28630 | 0.99372 |
| 41 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2118 | _ | 0.1187 | 0.05784 | 1.12604 | 1.00536 | 1.26121 | 0.04021 |
| 42 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2120 | _ | -0.01415 | 0.08229 | 0.98595 | 0.83909 | 1.15852 | 0.86348 |
| 43 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2124 | _ | -0.02692 | 0.04686 | 0.97344 | 0.88802 | 1.06708 | 0.56569 |
| 44 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2127 | _ | -0.03307 | 0.07035 | 0.96747 | 0.84287 | 1.11050 | 0.63834 |
| 45 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2128 | _ | -0.02807 | 0.06142 | 0.97232 | 0.86204 | 1.09672 | 0.64773 |
| 46 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2135 | _ | -0.01783 | 0.05353 | 0.98233 | 0.88450 | 1.09099 | 0.73910 |
| 47 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2143 | _ | -0.06427 | 0.2735 | 0.93776 | 0.54861 | 1.60294 | 0.81425 |
| 48 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2145 | _ | -0.1461 | 0.09536 | 0.86403 | 0.71673 | 1.04160 | 0.12548 |
| 49 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2149 | _ | 0.08508 | 0.07893 | 1.08881 | 0.93276 | 1.27097 | 0.28109 |
| 50 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2155 | _ | 0.1480 | 0.09240 | 1.15946 | 0.96738 | 1.38967 | 0.10943 |
| 51 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2168 | _ | -0.02473 | 0.05704 | 0.97557 | 0.87239 | 1.09097 | 0.66464 |
| 52 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2225 | _ | 0.1643 | 0.08852 | 1.17860 | 0.99087 | 1.40189 | 0.06348 |
| 53 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2289 | _ | 0.1086 | 0.06348 | 1.11475 | 0.98434 | 1.26244 | 0.08711 |
| 54 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2299 | _ | 0.1043 | 0.06391 | 1.10991 | 0.97924 | 1.25802 | 0.10283 |
| 55 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2307 | _ | 0.2615 | 0.04607 | 1.29884 | 1.18670 | 1.42159 | 0.00000 |
| 56 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2311 | _ | 0.04721 | 0.06177 | 1.04834 | 0.92880 | 1.18328 | 0.44478 |
| 57 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2313 | _ | -0.1097 | 0.06145 | 0.89609 | 0.79441 | 1.01078 | 0.07428 |
| 58 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2337 | _ | 0.07787 | 0.04972 | 1.08098 | 0.98061 | 1.19162 | 0.11741 |
| 59 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2339 | _ | -0.04113 | 0.04831 | 0.95970 | 0.87300 | 1.05502 | 0.39463 |
| 60 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2341 | _ | 0.06035 | 0.05614 | 1.06221 | 0.95153 | 1.18575 | 0.28246 |
| 61 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3001 | _ | -0.2615 | 0.4712 | 0.76987 | 0.30572 | 1.93867 | 0.57889 |
| 62 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3006 | _ | -0.3299 | 0.4714 | 0.71901 | 0.28539 | 1.81143 | 0.48413 |
| 63 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2010 | _ | 0 | . | 1.00000 | . | . | . |
| 64 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.01224 | 0.01912 | 0.98783 | 0.95149 | 1.02556 | 0.52212 | |
| 65 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | MED_PROV_COUNTY | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | -0.02156 | 0.1013 | 0.97867 | 0.80250 | 1.19351 | 0.83138 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.1097 | 0.08511 | 0.89611 | 0.75844 | 1.05878 | 0.19759 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.09582 | 0.04102 | 0.90863 | 0.83843 | 0.98471 | 0.01959 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | -0.00625 | 0.03537 | 0.99377 | 0.92720 | 1.06511 | 0.85968 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.7228 | 0.4766 | 0.48541 | 0.19072 | 1.23546 | 0.12953 | |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.1021 | 0.04215 | 0.90296 | 0.83136 | 0.98071 | 0.01550 | |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.1006 | 0.02194 | 0.90427 | 0.86621 | 0.94399 | 0.00000 | |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.09681 | 0.1423 | 1.10165 | 0.83348 | 1.45612 | 0.49642 | |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.1388 | 0.01961 | 1.14889 | 1.10558 | 1.19390 | 0.00000 | |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 14 | MATINF_HEPC | _ | _ | _ | _ | Yes | _ | 0.1638 | 0.01790 | 1.17802 | 1.13740 | 1.22008 | 0.00000 | |
| 15 | MATINF_HEPC | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . | |
| 16 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BARNSTABLE | _ | -0.1003 | 0.04217 | 0.90461 | 0.83284 | 0.98256 | 0.01752 |
| 17 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BERKSHIRE | _ | -0.2561 | 0.05449 | 0.77407 | 0.69566 | 0.86131 | 0.00000 |
| 18 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BRISTOL | _ | -0.1279 | 0.03317 | 0.87997 | 0.82459 | 0.93907 | 0.00012 |
| 19 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | DUKES | _ | -0.1297 | 0.2220 | 0.87840 | 0.56851 | 1.35719 | 0.55920 |
| 20 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | ESSEX | _ | -0.05279 | 0.03644 | 0.94858 | 0.88319 | 1.01882 | 0.14762 |
| 21 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | FRANKLIN | _ | -0.3789 | 0.1209 | 0.68459 | 0.54016 | 0.86764 | 0.00174 |
| 22 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPDEN | _ | -0.1334 | 0.03832 | 0.87511 | 0.81180 | 0.94337 | 0.00051 |
| 23 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPSHIRE | _ | -0.02598 | 0.08079 | 0.97435 | 0.83167 | 1.14152 | 0.74778 |
| 24 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | Missing/Unknown/Invalid | _ | -0.1789 | 0.05362 | 0.83617 | 0.75275 | 0.92883 | 0.00086 |
| 25 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NANTUCKET | _ | -0.1471 | 0.2407 | 0.86319 | 0.53854 | 1.38356 | 0.54111 |
| 26 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NORFOLK | _ | -0.08441 | 0.04219 | 0.91905 | 0.84612 | 0.99827 | 0.04548 |
| 27 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | PLYMOUTH | _ | -0.05440 | 0.03515 | 0.94706 | 0.88400 | 1.01461 | 0.12186 |
| 28 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | SUFFOLK | _ | 0.05204 | 0.03413 | 1.05342 | 0.98526 | 1.12629 | 0.12741 |
| 29 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | WORCESTER | _ | -0.09058 | 0.03151 | 0.91340 | 0.85870 | 0.97158 | 0.00407 |
| 30 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | MIDDLESEX | _ | 0 | . | 1.00000 | . | . | . |
| 31 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.01969 | 0.01985 | 0.98050 | 0.94309 | 1.01939 | 0.32108 | |
| 32 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | -0.01248 | 0.09028 | 0.98760 | 0.82744 | 1.17876 | 0.89005 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.08051 | 0.07694 | 0.92264 | 0.79349 | 1.07282 | 0.29545 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.05025 | 0.03615 | 0.95099 | 0.88594 | 1.02081 | 0.16456 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | -0.00985 | 0.03171 | 0.99020 | 0.93053 | 1.05369 | 0.75613 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.5920 | 0.4764 | 0.55323 | 0.21747 | 1.40740 | 0.21408 |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.07178 | 0.03744 | 0.93074 | 0.86489 | 1.00160 | 0.05528 |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.1027 | 0.01984 | 0.90239 | 0.86797 | 0.93817 | 0.00000 |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.08874 | 0.1185 | 1.09279 | 0.86625 | 1.37859 | 0.45413 |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.1255 | 0.01792 | 1.13377 | 1.09465 | 1.17429 | 0.00000 |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . |
| 14 | MATINF_HEPC | _ | _ | _ | _ | Yes | _ | 0.1540 | 0.01640 | 1.16651 | 1.12961 | 1.20462 | 0.00000 |
| 15 | MATINF_HEPC | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . |
| 16 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.04896 | 0.01798 | 0.95222 | 0.91926 | 0.98637 | 0.00649 |
| 17 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | -0.03806 | 0.1022 | 0.96266 | 0.78788 | 1.17621 | 0.70971 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.09819 | 0.08504 | 0.90647 | 0.76730 | 1.07090 | 0.24837 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.05422 | 0.04048 | 0.94723 | 0.87497 | 1.02544 | 0.18058 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | -0.00705 | 0.03508 | 0.99298 | 0.92701 | 1.06364 | 0.84075 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.6489 | 0.4809 | 0.52263 | 0.20362 | 1.34139 | 0.17735 |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.08030 | 0.04192 | 0.92284 | 0.85005 | 1.00186 | 0.05552 |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.09926 | 0.02197 | 0.90550 | 0.86734 | 0.94535 | 0.00001 |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.1463 | 0.1435 | 1.15755 | 0.87369 | 1.53363 | 0.30816 |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.1327 | 0.01958 | 1.14190 | 1.09891 | 1.18657 | 0.00000 |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . |
| 14 | MATINF_HEPC | _ | _ | _ | _ | Yes | _ | 0.1653 | 0.01797 | 1.17976 | 1.13894 | 1.22204 | 0.00000 |
| 15 | MATINF_HEPC | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . |
| 16 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.02320 | 0.01975 | 0.97707 | 0.93998 | 1.01563 | 0.24021 |
| 17 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.09837 | 0.2026 | 0.90631 | 0.60930 | 1.34811 | 0.62735 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.2212 | 0.2290 | 0.80154 | 0.51170 | 1.25556 | 0.33431 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.06174 | 0.07406 | 0.94012 | 0.81310 | 1.08698 | 0.40459 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.05419 | 0.06247 | 1.05568 | 0.93402 | 1.19319 | 0.38596 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.02327 | 0.1008 | 1.02355 | 0.84004 | 1.24713 | 0.81745 |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.06743 | 0.04022 | 0.93480 | 0.86394 | 1.01147 | 0.09389 |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.1726 | 0.1887 | 1.18836 | 0.82089 | 1.72033 | 0.36072 |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.07776 | 0.03514 | 1.08086 | 1.00892 | 1.15793 | 0.02709 |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . |
| 13 | MATINF_HEPC | _ | _ | _ | _ | Yes | No | 0.09361 | 0.03087 | 1.09814 | 1.03366 | 1.16664 | 0.00248 |
| 14 | MATINF_HEPC | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . |
| 15 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | 0.01038 | 0.1001 | 1.01043 | 0.83043 | 1.22945 | 0.91742 |
| 16 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.07388 | 0.08046 | 0.92878 | 0.79327 | 1.08744 | 0.35863 |
| 17 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.04853 | 0.04117 | 0.95263 | 0.87878 | 1.03268 | 0.23857 |
| 18 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | -0.03096 | 0.03639 | 0.96951 | 0.90277 | 1.04119 | 0.39499 |
| 19 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 20 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.6197 | 0.4660 | 0.53809 | 0.21589 | 1.34116 | 0.18364 |
| 21 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.07044 | 0.04047 | 0.93198 | 0.86090 | 1.00892 | 0.08191 |
| 22 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 23 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.1052 | 0.02273 | 0.90019 | 0.86097 | 0.94119 | 0.00000 |
| 24 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | 0.009378 | 0.1538 | 1.00942 | 0.74669 | 1.36459 | 0.95139 |
| 25 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 26 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.1445 | 0.02068 | 1.15545 | 1.10955 | 1.20325 | 0.00000 |
| 27 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 28 | MATINF_HEPC | _ | _ | _ | _ | Yes | Yes | 0.1800 | 0.01927 | 1.19722 | 1.15284 | 1.24330 | 0.00000 |
| 29 | MATINF_HEPC | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.1143 | 0.2222 | 0.89202 | 0.57712 | 1.37874 | 0.60713 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.2788 | 0.2387 | 0.75666 | 0.47398 | 1.20795 | 0.24307 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.06920 | 0.08284 | 0.93314 | 0.79330 | 1.09764 | 0.40375 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.06309 | 0.06791 | 1.06512 | 0.93238 | 1.21675 | 0.35314 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.01534 | 0.1188 | 1.01546 | 0.80453 | 1.28169 | 0.89726 |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.06201 | 0.04492 | 0.93987 | 0.86067 | 1.02637 | 0.16774 |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.3674 | 0.2235 | 1.44392 | 0.93170 | 2.23777 | 0.10059 |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.1028 | 0.03905 | 1.10827 | 1.02662 | 1.19643 | 0.00860 |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . |
| 13 | MATINF_HEPC | _ | _ | _ | _ | Yes | No | 0.09767 | 0.03424 | 1.10260 | 1.03104 | 1.17913 | 0.00442 |
| 14 | MATINF_HEPC | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . |
| 15 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | -0.01708 | 0.1145 | 0.98306 | 0.78551 | 1.23030 | 0.88139 |
| 16 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.08925 | 0.08970 | 0.91461 | 0.76716 | 1.09041 | 0.31986 |
| 17 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.04714 | 0.04598 | 0.95395 | 0.87175 | 1.04391 | 0.30536 |
| 18 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | -0.02988 | 0.04038 | 0.97056 | 0.89671 | 1.05050 | 0.45941 |
| 19 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 20 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.6719 | 0.4729 | 0.51073 | 0.20213 | 1.29049 | 0.15554 |
| 21 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.07796 | 0.04492 | 0.92500 | 0.84704 | 1.01014 | 0.08283 |
| 22 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 23 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.1048 | 0.02515 | 0.90053 | 0.85722 | 0.94604 | 0.00003 |
| 24 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | -0.06956 | 0.1878 | 0.93281 | 0.64558 | 1.34784 | 0.71113 |
| 25 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 26 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.1423 | 0.02252 | 1.15292 | 1.10315 | 1.20494 | 0.00000 |
| 27 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 28 | MATINF_HEPC | _ | _ | _ | _ | Yes | Yes | 0.1944 | 0.02110 | 1.21453 | 1.16533 | 1.26581 | 0.00000 |
| 29 | MATINF_HEPC | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | FACILITY_ID_BIRTH | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.09864 | 0.2072 | 0.90607 | 0.60369 | 1.35991 | 0.63412 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.2182 | 0.2321 | 0.80397 | 0.51009 | 1.26718 | 0.34750 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.08885 | 0.07518 | 0.91498 | 0.78961 | 1.06026 | 0.23754 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.05658 | 0.06349 | 1.05821 | 0.93440 | 1.19844 | 0.37302 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.01665 | 0.1035 | 1.01679 | 0.83004 | 1.24555 | 0.87229 | |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.05913 | 0.04236 | 0.94258 | 0.86748 | 1.02419 | 0.16303 | |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.1553 | 0.1907 | 1.16798 | 0.80377 | 1.69723 | 0.41559 | |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.09155 | 0.03603 | 1.09588 | 1.02115 | 1.17607 | 0.01118 | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . | |
| 13 | MATINF_HEPC | _ | _ | _ | _ | Yes | No | 0.1008 | 0.03271 | 1.10601 | 1.03732 | 1.17924 | 0.00212 | |
| 14 | MATINF_HEPC | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . | |
| 15 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2006 | No | 0.4067 | 0.1941 | 1.50178 | 1.02651 | 2.19712 | 0.03640 |
| 16 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2007 | No | -0.2533 | 0.1225 | 0.77623 | 0.61052 | 0.98693 | 0.03891 |
| 17 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2014 | No | -0.06734 | 0.1058 | 0.93487 | 0.75977 | 1.15033 | 0.52462 |
| 18 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2018 | No | 0.2889 | 0.2101 | 1.33493 | 0.88432 | 2.01516 | 0.16942 |
| 19 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2020 | No | 0.2661 | 0.1943 | 1.30492 | 0.89170 | 1.90962 | 0.17095 |
| 20 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2022 | No | 0.2396 | 0.1293 | 1.27074 | 0.98617 | 1.63741 | 0.06423 |
| 21 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2036 | No | -0.02333 | 0.1537 | 0.97694 | 0.72277 | 1.32049 | 0.87939 |
| 22 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2040 | No | -0.05533 | 0.07669 | 0.94618 | 0.81413 | 1.09965 | 0.47083 |
| 23 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2044 | No | -0.5078 | 0.5033 | 0.60181 | 0.22443 | 1.61380 | 0.31316 |
| 24 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2058 | No | 0.2259 | 0.1316 | 1.25343 | 0.96838 | 1.62237 | 0.08643 |
| 25 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2069 | No | 0.1651 | 0.1172 | 1.17946 | 0.93731 | 1.48416 | 0.15947 |
| 26 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2071 | No | 0.1046 | 0.1731 | 1.11026 | 0.79089 | 1.55859 | 0.54569 |
| 27 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2075 | No | 0.3721 | 0.2520 | 1.45074 | 0.88528 | 2.37737 | 0.14008 |
| 28 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2082 | No | -0.3921 | 0.1732 | 0.67565 | 0.48118 | 0.94871 | 0.02375 |
| 29 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2085 | No | 0.06676 | 0.09573 | 1.06904 | 0.88614 | 1.28968 | 0.48573 |
| 30 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2094 | No | -0.2989 | 0.4944 | 0.74167 | 0.28142 | 1.95459 | 0.54564 |
| 31 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2099 | No | 0.05286 | 0.1392 | 1.05428 | 0.80252 | 1.38502 | 0.70423 |
| 32 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2100 | No | 0.1641 | 0.3531 | 1.17836 | 0.58976 | 2.35440 | 0.64220 |
| 33 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2105 | No | 0.03977 | 0.1732 | 1.04058 | 0.74105 | 1.46117 | 0.81840 |
| 34 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2106 | No | 0.1579 | 0.1235 | 1.17101 | 0.91929 | 1.49166 | 0.20134 |
| 35 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2107 | No | -0.08843 | 0.08231 | 0.91537 | 0.77898 | 1.07563 | 0.28290 |
| 36 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2108 | No | -0.07297 | 0.1427 | 0.92962 | 0.70283 | 1.22960 | 0.60914 |
| 37 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2114 | No | -0.05124 | 0.2899 | 0.95005 | 0.53828 | 1.67680 | 0.85972 |
| 38 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2118 | No | 0.2154 | 0.1222 | 1.24042 | 0.97630 | 1.57598 | 0.07805 |
| 39 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2120 | No | -0.08826 | 0.2151 | 0.91552 | 0.60062 | 1.39553 | 0.68164 |
| 40 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2124 | No | -0.01125 | 0.06825 | 0.98881 | 0.86500 | 1.13035 | 0.86909 |
| 41 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2127 | No | -0.03610 | 0.1406 | 0.96455 | 0.73222 | 1.27058 | 0.79743 |
| 42 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2128 | No | -0.06134 | 0.09614 | 0.94051 | 0.77898 | 1.13553 | 0.52360 |
| 43 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2135 | No | -0.1049 | 0.1060 | 0.90038 | 0.73146 | 1.10832 | 0.32243 |
| 44 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2143 | No | 0.05461 | 0.3511 | 1.05613 | 0.53072 | 2.10170 | 0.87641 |
| 45 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2145 | No | -0.06298 | 0.1590 | 0.93896 | 0.68760 | 1.28220 | 0.69201 |
| 46 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2149 | No | 0.09807 | 0.1332 | 1.10304 | 0.84960 | 1.43210 | 0.46171 |
| 47 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2155 | No | 0.04228 | 0.1316 | 1.04319 | 0.80608 | 1.35005 | 0.74796 |
| 48 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2168 | No | -0.08442 | 0.1092 | 0.91904 | 0.74191 | 1.13847 | 0.43978 |
| 49 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2225 | No | 0.02229 | 0.1730 | 1.02254 | 0.72851 | 1.43525 | 0.89748 |
| 50 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2289 | No | 0.1890 | 0.1530 | 1.20802 | 0.89496 | 1.63061 | 0.21713 |
| 51 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2299 | No | 0.1245 | 0.09842 | 1.13259 | 0.93389 | 1.37356 | 0.20610 |
| 52 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2307 | No | 0.1466 | 0.08992 | 1.15790 | 0.97080 | 1.38107 | 0.10328 |
| 53 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2311 | No | -0.04295 | 0.1063 | 0.95796 | 0.77772 | 1.17996 | 0.68638 |
| 54 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2313 | No | -0.1247 | 0.09883 | 0.88280 | 0.72734 | 1.07149 | 0.20747 |
| 55 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2337 | No | 0.1612 | 0.07875 | 1.17492 | 1.00687 | 1.37101 | 0.04089 |
| 56 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2339 | No | -0.00799 | 0.07215 | 0.99204 | 0.86122 | 1.14275 | 0.91188 |
| 57 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2341 | No | 0.05725 | 0.1157 | 1.05892 | 0.84404 | 1.32849 | 0.62088 |
| 58 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2010 | No | 0 | . | 1.00000 | . | . | . |
| 59 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | 0.04890 | 0.09932 | 1.05011 | 0.86436 | 1.27578 | 0.62253 | |
| 60 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.03709 | 0.08032 | 0.96359 | 0.82324 | 1.12787 | 0.64429 | |
| 61 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.09760 | 0.04144 | 0.90701 | 0.83626 | 0.98375 | 0.01860 | |
| 62 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | -0.02249 | 0.03745 | 0.97776 | 0.90856 | 1.05222 | 0.54817 | |
| 63 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 64 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.5852 | 0.4619 | 0.55698 | 0.22525 | 1.37724 | 0.20527 | |
| 65 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.09967 | 0.04095 | 0.90513 | 0.83533 | 0.98077 | 0.01501 | |
| 66 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 67 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.1033 | 0.02392 | 0.90189 | 0.86057 | 0.94519 | 0.00002 | |
| 68 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | -0.04011 | 0.1523 | 0.96068 | 0.71272 | 1.29491 | 0.79231 | |
| 69 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 70 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.1142 | 0.02167 | 1.12096 | 1.07433 | 1.16960 | 0.00000 | |
| 71 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 72 | MATINF_HEPC | _ | _ | _ | _ | Yes | Yes | 0.1901 | 0.01965 | 1.20935 | 1.16365 | 1.25685 | 0.00000 | |
| 73 | MATINF_HEPC | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . | |
| 74 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2006 | Yes | -0.09970 | 0.08321 | 0.90511 | 0.76891 | 1.06544 | 0.23098 |
| 75 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2007 | Yes | 0.07890 | 0.06564 | 1.08210 | 0.95146 | 1.23067 | 0.22949 |
| 76 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2014 | Yes | -0.1593 | 0.09733 | 0.85277 | 0.70466 | 1.03200 | 0.10190 |
| 77 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2018 | Yes | 0.2673 | 0.1090 | 1.30639 | 1.05514 | 1.61746 | 0.01426 |
| 78 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2020 | Yes | 0.04929 | 0.07942 | 1.05052 | 0.89909 | 1.22746 | 0.53490 |
| 79 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2022 | Yes | 0.2729 | 0.1226 | 1.31378 | 1.03318 | 1.67059 | 0.02609 |
| 80 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2036 | Yes | -0.1019 | 0.08571 | 0.90312 | 0.76346 | 1.06832 | 0.23459 |
| 81 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2040 | Yes | 0.02887 | 0.07808 | 1.02929 | 0.88324 | 1.19950 | 0.71157 |
| 82 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2042 | Yes | -0.3951 | 0.4493 | 0.67358 | 0.27921 | 1.62501 | 0.37931 |
| 83 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2044 | Yes | 0.02377 | 0.1935 | 1.02406 | 0.70084 | 1.49634 | 0.90224 |
| 84 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2052 | Yes | -0.08467 | 0.2445 | 0.91881 | 0.56904 | 1.48358 | 0.72911 |
| 85 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2058 | Yes | 0.08014 | 0.08207 | 1.08343 | 0.92246 | 1.27250 | 0.32895 |
| 86 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2069 | Yes | 0.1166 | 0.07031 | 1.12367 | 0.97901 | 1.28971 | 0.09741 |
| 87 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2071 | Yes | 0.1453 | 0.1144 | 1.15641 | 0.92409 | 1.44714 | 0.20420 |
| 88 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2075 | Yes | 0.1344 | 0.09693 | 1.14379 | 0.94589 | 1.38311 | 0.16588 |
| 89 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2082 | Yes | 0.1458 | 0.07272 | 1.15698 | 1.00329 | 1.33421 | 0.04507 |
| 90 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2085 | Yes | -0.09787 | 0.1157 | 0.90677 | 0.72280 | 1.13756 | 0.39767 |
| 91 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2094 | Yes | 0.03441 | 0.07945 | 1.03501 | 0.88576 | 1.20941 | 0.66495 |
| 92 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2099 | Yes | 0.08148 | 0.08201 | 1.08489 | 0.92380 | 1.27408 | 0.32056 |
| 93 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2100 | Yes | 0.1782 | 0.09450 | 1.19506 | 0.99300 | 1.43824 | 0.05947 |
| 94 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2105 | Yes | 0.04926 | 0.08483 | 1.05050 | 0.88959 | 1.24051 | 0.56148 |
| 95 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2106 | Yes | 0.02352 | 0.09401 | 1.02380 | 0.85152 | 1.23095 | 0.80243 |
| 96 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2107 | Yes | 0.05728 | 0.05930 | 1.05896 | 0.94275 | 1.18949 | 0.33419 |
| 97 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2108 | Yes | 0.06673 | 0.1152 | 1.06900 | 0.85297 | 1.33975 | 0.56243 |
| 98 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2114 | Yes | 0.01654 | 0.1417 | 1.01668 | 0.77007 | 1.34226 | 0.90710 |
| 99 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2118 | Yes | 0.08157 | 0.06686 | 1.08499 | 0.95173 | 1.23691 | 0.22261 |
| 100 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2120 | Yes | -0.01719 | 0.08999 | 0.98296 | 0.82402 | 1.17257 | 0.84857 |
| 101 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2124 | Yes | -0.04963 | 0.06862 | 0.95158 | 0.83183 | 1.08857 | 0.46961 |
| 102 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2127 | Yes | -0.01773 | 0.08129 | 0.98243 | 0.83773 | 1.15213 | 0.82742 |
| 103 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2128 | Yes | 0.006389 | 0.07938 | 1.00641 | 0.86140 | 1.17582 | 0.93586 |
| 104 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2135 | Yes | 0.002515 | 0.06284 | 1.00252 | 0.88635 | 1.13391 | 0.96808 |
| 105 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2143 | Yes | -0.2465 | 0.4593 | 0.78149 | 0.31764 | 1.92271 | 0.59149 |
| 106 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2145 | Yes | -0.2044 | 0.1182 | 0.81515 | 0.64657 | 1.02768 | 0.08396 |
| 107 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2149 | Yes | 0.07846 | 0.09755 | 1.08162 | 0.89338 | 1.30951 | 0.42131 |
| 108 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2155 | Yes | 0.3241 | 0.1342 | 1.38277 | 1.06300 | 1.79872 | 0.01580 |
| 109 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2168 | Yes | -0.00987 | 0.06743 | 0.99018 | 0.86759 | 1.13009 | 0.88362 |
| 110 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2225 | Yes | 0.2440 | 0.1022 | 1.27630 | 1.04468 | 1.55928 | 0.01703 |
| 111 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2289 | Yes | 0.09061 | 0.07138 | 1.09484 | 0.95190 | 1.25925 | 0.20444 |
| 112 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2299 | Yes | 0.06887 | 0.08448 | 1.07130 | 0.90782 | 1.26422 | 0.41502 |
| 113 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2307 | Yes | 0.2805 | 0.05508 | 1.32383 | 1.18836 | 1.47474 | 0.00000 |
| 114 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2311 | Yes | 0.1018 | 0.07550 | 1.10714 | 0.95486 | 1.28371 | 0.17774 |
| 115 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2313 | Yes | -0.1202 | 0.07623 | 0.88678 | 0.76371 | 1.02967 | 0.11509 |
| 116 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2337 | Yes | -0.00226 | 0.06392 | 0.99774 | 0.88026 | 1.13090 | 0.97177 |
| 117 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2339 | Yes | -0.07799 | 0.06579 | 0.92497 | 0.81307 | 1.05228 | 0.23600 |
| 118 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2341 | Yes | 0.06539 | 0.06523 | 1.06757 | 0.93945 | 1.21317 | 0.31623 |
| 119 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3001 | Yes | -0.2465 | 0.4593 | 0.78149 | 0.31764 | 1.92271 | 0.59149 |
| 120 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3006 | Yes | -0.3334 | 0.4597 | 0.71650 | 0.29102 | 1.76409 | 0.46840 |
| 121 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2010 | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | MATINF_HEPC | MED_PROV_COUNTY | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.07994 | 0.2216 | 0.92318 | 0.59799 | 1.42520 | 0.71833 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.3101 | 0.2381 | 0.73339 | 0.45992 | 1.16946 | 0.19319 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.1007 | 0.08343 | 0.90424 | 0.76784 | 1.06488 | 0.22794 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.06687 | 0.06814 | 1.06916 | 0.93550 | 1.22192 | 0.32670 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.04569 | 0.1217 | 1.04675 | 0.82456 | 1.32882 | 0.70750 | |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.06046 | 0.04486 | 0.94133 | 0.86209 | 1.02785 | 0.17806 | |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.3478 | 0.2225 | 1.41599 | 0.91550 | 2.19009 | 0.11831 | |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.1155 | 0.03906 | 1.12241 | 1.03969 | 1.21170 | 0.00318 | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . | |
| 13 | MATINF_HEPC | _ | _ | _ | _ | Yes | No | 0.09839 | 0.03427 | 1.10339 | 1.03171 | 1.18005 | 0.00418 | |
| 14 | MATINF_HEPC | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . | |
| 15 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BARNSTABLE | No | -0.09159 | 0.08492 | 0.91248 | 0.77257 | 1.07772 | 0.28106 |
| 16 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BERKSHIRE | No | -0.2624 | 0.08642 | 0.76919 | 0.64934 | 0.91115 | 0.00247 |
| 17 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BRISTOL | No | -0.1532 | 0.05695 | 0.85798 | 0.76735 | 0.95931 | 0.00729 |
| 18 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | ESSEX | No | 0.01788 | 0.06907 | 1.01805 | 0.88915 | 1.16563 | 0.79574 |
| 19 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | FRANKLIN | No | -0.6016 | 0.2883 | 0.54793 | 0.31140 | 0.96410 | 0.03716 |
| 20 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPDEN | No | -0.06979 | 0.05960 | 0.93259 | 0.82977 | 1.04814 | 0.24187 |
| 21 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPSHIRE | No | -0.06806 | 0.1260 | 0.93420 | 0.72983 | 1.19580 | 0.58909 |
| 22 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | Missing/Unknown/Invalid | No | -0.2644 | 0.1141 | 0.76767 | 0.61387 | 0.96001 | 0.02066 |
| 23 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NANTUCKET | No | -0.7180 | 0.5072 | 0.48773 | 0.18049 | 1.31795 | 0.15718 |
| 24 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NORFOLK | No | -0.1349 | 0.08057 | 0.87378 | 0.74613 | 1.02326 | 0.09432 |
| 25 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | PLYMOUTH | No | -0.04051 | 0.06408 | 0.96030 | 0.84696 | 1.08881 | 0.52741 |
| 26 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | SUFFOLK | No | 0.001859 | 0.06715 | 1.00186 | 0.87831 | 1.14280 | 0.97792 |
| 27 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | WORCESTER | No | -0.1310 | 0.05184 | 0.87724 | 0.79249 | 0.97106 | 0.01168 |
| 28 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | MIDDLESEX | No | 0 | . | 1.00000 | . | . | . |
| 29 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | 0.003013 | 0.1131 | 1.00302 | 0.80355 | 1.25200 | 0.97876 | |
| 30 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.09387 | 0.08969 | 0.91040 | 0.76363 | 1.08538 | 0.29548 | |
| 31 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.08890 | 0.04658 | 0.91494 | 0.83511 | 1.00239 | 0.05647 | |
| 32 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | -0.02422 | 0.04089 | 0.97607 | 0.90090 | 1.05752 | 0.55375 | |
| 33 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 34 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.7410 | 0.4683 | 0.47664 | 0.19036 | 1.19342 | 0.11372 | |
| 35 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.1072 | 0.04515 | 0.89838 | 0.82229 | 0.98150 | 0.01773 | |
| 36 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 37 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.1085 | 0.02519 | 0.89715 | 0.85393 | 0.94254 | 0.00002 | |
| 38 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | -0.08721 | 0.1886 | 0.91648 | 0.63331 | 1.32626 | 0.64376 | |
| 39 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 40 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.1476 | 0.02262 | 1.15906 | 1.10880 | 1.21161 | 0.00000 | |
| 41 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 42 | MATINF_HEPC | _ | _ | _ | _ | Yes | Yes | 0.1920 | 0.02110 | 1.21171 | 1.16261 | 1.26288 | 0.00000 | |
| 43 | MATINF_HEPC | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . | |
| 44 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BARNSTABLE | Yes | -0.09775 | 0.04845 | 0.90688 | 0.82473 | 0.99721 | 0.04377 |
| 45 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BERKSHIRE | Yes | -0.2650 | 0.06834 | 0.76723 | 0.67105 | 0.87720 | 0.00011 |
| 46 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BRISTOL | Yes | -0.1163 | 0.04065 | 0.89022 | 0.82206 | 0.96405 | 0.00427 |
| 47 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | DUKES | Yes | -0.1184 | 0.2192 | 0.88832 | 0.57807 | 1.36508 | 0.58909 |
| 48 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | ESSEX | Yes | -0.06868 | 0.04282 | 0.93363 | 0.85847 | 1.01537 | 0.10890 |
| 49 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | FRANKLIN | Yes | -0.3440 | 0.1324 | 0.70892 | 0.54686 | 0.91901 | 0.00945 |
| 50 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPDEN | Yes | -0.1885 | 0.05013 | 0.82819 | 0.75068 | 0.91370 | 0.00017 |
| 51 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPSHIRE | Yes | 0.02064 | 0.1041 | 1.02086 | 0.83241 | 1.25196 | 0.84284 |
| 52 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | Missing/Unknown/Invalid | Yes | -0.1437 | 0.06069 | 0.86613 | 0.76899 | 0.97554 | 0.01798 |
| 53 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NANTUCKET | Yes | 0.03465 | 0.2726 | 1.03525 | 0.60678 | 1.76630 | 0.89887 |
| 54 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NORFOLK | Yes | -0.06580 | 0.04937 | 0.93632 | 0.84997 | 1.03144 | 0.18272 |
| 55 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | PLYMOUTH | Yes | -0.06820 | 0.04190 | 0.93408 | 0.86042 | 1.01403 | 0.10379 |
| 56 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | SUFFOLK | Yes | 0.06954 | 0.03985 | 1.07202 | 0.99147 | 1.15911 | 0.08112 |
| 57 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | WORCESTER | Yes | -0.05618 | 0.03985 | 0.94537 | 0.87434 | 1.02216 | 0.15873 |
| 58 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | MIDDLESEX | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | FACILITY_ID_BIRTH | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | 0.01751 | 0.08924 | 1.01766 | 0.85436 | 1.21218 | 0.84448 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.04041 | 0.07578 | 0.96039 | 0.82783 | 1.11418 | 0.59387 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.08054 | 0.03613 | 0.92262 | 0.85953 | 0.99033 | 0.02589 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | 0.005524 | 0.03201 | 1.00554 | 0.94438 | 1.07066 | 0.86301 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.5476 | 0.4684 | 0.57836 | 0.23094 | 1.44839 | 0.24245 | |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.05283 | 0.03761 | 0.94855 | 0.88114 | 1.02110 | 0.16022 | |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.05651 | 0.02087 | 0.94505 | 0.90718 | 0.98451 | 0.00680 | |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.05754 | 0.1157 | 1.05922 | 0.84437 | 1.32875 | 0.61891 | |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.08026 | 0.01839 | 1.08357 | 1.04520 | 1.12335 | 0.00001 | |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 14 | HCV_DIAG | _ | _ | _ | _ | Yes | _ | 0.2999 | 0.02164 | 1.34972 | 1.29367 | 1.40821 | 0.00000 | |
| 15 | HCV_DIAG | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . | |
| 16 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2006 | _ | -0.06764 | 0.07474 | 0.93460 | 0.80725 | 1.08204 | 0.36552 |
| 17 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2007 | _ | -0.08644 | 0.05606 | 0.91719 | 0.82174 | 1.02372 | 0.12321 |
| 18 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2014 | _ | -0.1278 | 0.07052 | 0.88000 | 0.76641 | 1.01044 | 0.06996 |
| 19 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2018 | _ | 0.2699 | 0.09614 | 1.30989 | 1.08492 | 1.58152 | 0.00502 |
| 20 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2020 | _ | 0.06210 | 0.07134 | 1.06407 | 0.92522 | 1.22376 | 0.38409 |
| 21 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2022 | _ | 0.2172 | 0.08757 | 1.24264 | 1.04667 | 1.47531 | 0.01315 |
| 22 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2036 | _ | -0.1086 | 0.07380 | 0.89705 | 0.77624 | 1.03667 | 0.14110 |
| 23 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2040 | _ | -0.02794 | 0.05283 | 0.97245 | 0.87678 | 1.07854 | 0.59694 |
| 24 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2042 | _ | -0.5475 | 0.4567 | 0.57840 | 0.23630 | 1.41573 | 0.23071 |
| 25 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2044 | _ | -0.1076 | 0.1803 | 0.89795 | 0.63061 | 1.27862 | 0.55056 |
| 26 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2052 | _ | -0.09136 | 0.2450 | 0.91269 | 0.56461 | 1.47535 | 0.70929 |
| 27 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2058 | _ | 0.08951 | 0.06874 | 1.09364 | 0.95579 | 1.25136 | 0.19294 |
| 28 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2069 | _ | 0.06800 | 0.05887 | 1.07037 | 0.95371 | 1.20129 | 0.24815 |
| 29 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2071 | _ | 0.08614 | 0.09435 | 1.08996 | 0.90594 | 1.31135 | 0.36131 |
| 30 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2075 | _ | 0.07415 | 0.08810 | 1.07697 | 0.90618 | 1.27995 | 0.40000 |
| 31 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2082 | _ | 0.03978 | 0.06481 | 1.04058 | 0.91645 | 1.18153 | 0.53940 |
| 32 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2085 | _ | 0.02743 | 0.07009 | 1.02780 | 0.89588 | 1.17916 | 0.69561 |
| 33 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2094 | _ | 0.02563 | 0.07464 | 1.02596 | 0.88633 | 1.18758 | 0.73134 |
| 34 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2099 | _ | 0.04019 | 0.06963 | 1.04101 | 0.90821 | 1.19323 | 0.56381 |
| 35 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2100 | _ | 0.04700 | 0.08908 | 1.04812 | 0.88021 | 1.24807 | 0.59779 |
| 36 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2105 | _ | 0.01909 | 0.07520 | 1.01928 | 0.87959 | 1.18114 | 0.79961 |
| 37 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2106 | _ | 0.07960 | 0.07417 | 1.08285 | 0.93634 | 1.25228 | 0.28327 |
| 38 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2107 | _ | -0.01529 | 0.04765 | 0.98483 | 0.89701 | 1.08125 | 0.74840 |
| 39 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2108 | _ | -0.00801 | 0.08837 | 0.99202 | 0.83425 | 1.17963 | 0.92780 |
| 40 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2114 | _ | -0.09653 | 0.1263 | 0.90798 | 0.70884 | 1.16306 | 0.44481 |
| 41 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2118 | _ | 0.08599 | 0.05705 | 1.08979 | 0.97451 | 1.21872 | 0.13181 |
| 42 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2120 | _ | -0.06669 | 0.08111 | 0.93549 | 0.79799 | 1.09668 | 0.41103 |
| 43 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2124 | _ | -0.04453 | 0.04625 | 0.95645 | 0.87355 | 1.04721 | 0.33580 |
| 44 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2127 | _ | -0.06700 | 0.06934 | 0.93520 | 0.81635 | 1.07134 | 0.33400 |
| 45 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2128 | _ | -0.03939 | 0.06057 | 0.96138 | 0.85377 | 1.08256 | 0.51556 |
| 46 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2135 | _ | -0.03575 | 0.05280 | 0.96489 | 0.87002 | 1.07010 | 0.49848 |
| 47 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2143 | _ | -0.1286 | 0.2700 | 0.87935 | 0.51799 | 1.49280 | 0.63399 |
| 48 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2145 | _ | -0.1450 | 0.09403 | 0.86499 | 0.71940 | 1.04005 | 0.12308 |
| 49 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2149 | _ | 0.07742 | 0.07789 | 1.08050 | 0.92753 | 1.25870 | 0.32026 |
| 50 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2155 | _ | 0.1388 | 0.09124 | 1.14894 | 0.96081 | 1.37391 | 0.12816 |
| 51 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2168 | _ | -0.07793 | 0.05619 | 0.92503 | 0.82856 | 1.03274 | 0.16562 |
| 52 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2225 | _ | 0.1356 | 0.08711 | 1.14518 | 0.96545 | 1.35838 | 0.11973 |
| 53 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2289 | _ | 0.02414 | 0.06239 | 1.02444 | 0.90652 | 1.15769 | 0.69882 |
| 54 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2299 | _ | 0.08880 | 0.06307 | 1.09287 | 0.96578 | 1.23668 | 0.15923 |
| 55 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2307 | _ | 0.2155 | 0.04545 | 1.24048 | 1.13475 | 1.35607 | 0.00000 |
| 56 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2311 | _ | 0.03472 | 0.06095 | 1.03533 | 0.91875 | 1.16672 | 0.56893 |
| 57 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2313 | _ | -0.1568 | 0.06054 | 0.85486 | 0.75921 | 0.96257 | 0.00965 |
| 58 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2337 | _ | 0.03624 | 0.04901 | 1.03690 | 0.94193 | 1.14144 | 0.45974 |
| 59 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2339 | _ | -0.05048 | 0.04762 | 0.95077 | 0.86604 | 1.04379 | 0.28923 |
| 60 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2341 | _ | 0.03236 | 0.05511 | 1.03289 | 0.92713 | 1.15070 | 0.55713 |
| 61 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3001 | _ | -0.1418 | 0.4653 | 0.86782 | 0.34865 | 2.16005 | 0.76060 |
| 62 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3006 | _ | -0.3852 | 0.4654 | 0.68034 | 0.27328 | 1.69376 | 0.40792 |
| 63 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2010 | _ | 0 | . | 1.00000 | . | . | . |
| 64 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.00978 | 0.01886 | 0.99026 | 0.95433 | 1.02755 | 0.60395 | |
| 65 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | MED_PROV_COUNTY | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | -0.01092 | 0.09901 | 0.98914 | 0.81467 | 1.20098 | 0.91218 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.09553 | 0.08290 | 0.90889 | 0.77258 | 1.06926 | 0.24934 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.07750 | 0.04005 | 0.92543 | 0.85557 | 1.00099 | 0.05308 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | 0.01863 | 0.03457 | 1.01881 | 0.95205 | 1.09024 | 0.59000 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.6883 | 0.4665 | 0.50244 | 0.20138 | 1.25357 | 0.14018 | |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.05989 | 0.04127 | 0.94187 | 0.86867 | 1.02123 | 0.14687 | |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.06672 | 0.02167 | 0.93546 | 0.89655 | 0.97605 | 0.00210 | |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.1325 | 0.1398 | 1.14165 | 0.86798 | 1.50159 | 0.34351 | |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.1007 | 0.01946 | 1.10597 | 1.06457 | 1.14897 | 0.00000 | |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . | |
| 14 | HCV_DIAG | _ | _ | _ | _ | Yes | _ | 0.3489 | 0.02364 | 1.41750 | 1.35331 | 1.48474 | 0.00000 | |
| 15 | HCV_DIAG | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . | |
| 16 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BARNSTABLE | _ | -0.1230 | 0.04118 | 0.88424 | 0.81566 | 0.95857 | 0.00284 |
| 17 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BERKSHIRE | _ | -0.2713 | 0.05315 | 0.76242 | 0.68698 | 0.84613 | 0.00000 |
| 18 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BRISTOL | _ | -0.1328 | 0.03242 | 0.87564 | 0.82173 | 0.93308 | 0.00004 |
| 19 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | DUKES | _ | -0.2397 | 0.2165 | 0.78683 | 0.51471 | 1.20282 | 0.26832 |
| 20 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | ESSEX | _ | -0.07972 | 0.03557 | 0.92337 | 0.86119 | 0.99004 | 0.02507 |
| 21 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | FRANKLIN | _ | -0.3812 | 0.1184 | 0.68302 | 0.54152 | 0.86149 | 0.00130 |
| 22 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPDEN | _ | -0.1181 | 0.03747 | 0.88861 | 0.82569 | 0.95632 | 0.00164 |
| 23 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPSHIRE | _ | -0.02995 | 0.07895 | 0.97050 | 0.83137 | 1.13290 | 0.70446 |
| 24 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | Missing/Unknown/Invalid | _ | -0.1712 | 0.05254 | 0.84261 | 0.76016 | 0.93400 | 0.00113 |
| 25 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NANTUCKET | _ | -0.2255 | 0.2355 | 0.79812 | 0.50300 | 1.26640 | 0.33848 |
| 26 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NORFOLK | _ | -0.09645 | 0.04123 | 0.90806 | 0.83756 | 0.98448 | 0.01938 |
| 27 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | PLYMOUTH | _ | -0.05963 | 0.03437 | 0.94211 | 0.88074 | 1.00776 | 0.08283 |
| 28 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | SUFFOLK | _ | 0.04209 | 0.03337 | 1.04299 | 0.97696 | 1.11349 | 0.20721 |
| 29 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | WORCESTER | _ | -0.09810 | 0.03081 | 0.90656 | 0.85344 | 0.96298 | 0.00146 |
| 30 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | MIDDLESEX | _ | 0 | . | 1.00000 | . | . | . |
| 31 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.00630 | 0.01935 | 0.99372 | 0.95674 | 1.03212 | 0.74473 | |
| 32 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | -0.00370 | 0.08895 | 0.99631 | 0.83690 | 1.18608 | 0.96684 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.05952 | 0.07575 | 0.94221 | 0.81222 | 1.09301 | 0.43203 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.03395 | 0.03564 | 0.96662 | 0.90140 | 1.03657 | 0.34097 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | 0.003447 | 0.03125 | 1.00345 | 0.94383 | 1.06684 | 0.91218 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.5518 | 0.4694 | 0.57588 | 0.22947 | 1.44522 | 0.23986 |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.03329 | 0.03702 | 0.96726 | 0.89956 | 1.04006 | 0.36867 |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.07042 | 0.01979 | 0.93201 | 0.89654 | 0.96887 | 0.00038 |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.09747 | 0.1169 | 1.10238 | 0.87665 | 1.38622 | 0.40444 |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.09294 | 0.01792 | 1.09739 | 1.05952 | 1.13662 | 0.00000 |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . |
| 14 | HCV_DIAG | _ | _ | _ | _ | Yes | _ | 0.3038 | 0.02153 | 1.35497 | 1.29898 | 1.41337 | 0.00000 |
| 15 | HCV_DIAG | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . |
| 16 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.03560 | 0.01761 | 0.96502 | 0.93229 | 0.99891 | 0.04325 |
| 17 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | _ | -0.02621 | 0.1000 | 0.97413 | 0.80068 | 1.18515 | 0.79334 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | _ | -0.07663 | 0.08310 | 0.92624 | 0.78701 | 1.09009 | 0.35660 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | _ | -0.03635 | 0.03962 | 0.96431 | 0.89226 | 1.04217 | 0.35900 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | _ | 0.02002 | 0.03438 | 1.02022 | 0.95375 | 1.09133 | 0.56031 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Missing in dataset | _ | _ | _ | _ | -0.6057 | 0.4708 | 0.54568 | 0.21685 | 1.37317 | 0.19838 |
| 7 | foreign_born | _ | Yes | _ | _ | _ | _ | -0.03867 | 0.04114 | 0.96206 | 0.88753 | 1.04286 | 0.34733 |
| 8 | foreign_born | _ | No | _ | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 9 | LD_PAY | _ | _ | Private | _ | _ | _ | -0.06620 | 0.02171 | 0.93594 | 0.89695 | 0.97662 | 0.00231 |
| 10 | LD_PAY | _ | _ | Unknown | _ | _ | _ | 0.1792 | 0.1408 | 1.19624 | 0.90773 | 1.57645 | 0.20328 |
| 11 | LD_PAY | _ | _ | Public | _ | _ | _ | 0 | . | 1.00000 | . | . | . |
| 12 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | _ | 0.09334 | 0.01947 | 1.09783 | 1.05673 | 1.14053 | 0.00000 |
| 13 | MOUD_DURING_PREG | _ | _ | _ | No | _ | _ | 0 | . | 1.00000 | . | . | . |
| 14 | HCV_DIAG | _ | _ | _ | _ | Yes | _ | 0.3516 | 0.02377 | 1.42133 | 1.35662 | 1.48912 | 0.00000 |
| 15 | HCV_DIAG | _ | _ | _ | _ | No | _ | 0 | . | 1.00000 | . | . | . |
| 16 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | No | -0.00708 | 0.01922 | 0.99294 | 0.95623 | 1.03107 | 0.71265 |
| 17 | DISCH_WITH_MOM | _ | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.08287 | 0.2026 | 0.92047 | 0.61881 | 1.36919 | 0.68257 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.2178 | 0.2293 | 0.80428 | 0.51313 | 1.26064 | 0.34246 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.06704 | 0.07403 | 0.93516 | 0.80885 | 1.08120 | 0.36538 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.05094 | 0.06244 | 1.05226 | 0.93106 | 1.18925 | 0.41476 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.04137 | 0.1007 | 1.04224 | 0.85563 | 1.26954 | 0.68115 |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.06261 | 0.04027 | 0.93931 | 0.86802 | 1.01645 | 0.12024 |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.1371 | 0.1881 | 1.14690 | 0.79321 | 1.65830 | 0.46640 |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.07305 | 0.03524 | 1.07578 | 1.00398 | 1.15272 | 0.03842 |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . |
| 13 | HCV_DIAG | _ | _ | _ | _ | Yes | No | 0.1527 | 0.04535 | 1.16501 | 1.06591 | 1.27332 | 0.00078 |
| 14 | HCV_DIAG | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . |
| 15 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | 0.01305 | 0.09779 | 1.01314 | 0.83642 | 1.22719 | 0.89385 |
| 16 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.04466 | 0.07861 | 0.95633 | 0.81977 | 1.11562 | 0.57003 |
| 17 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.01807 | 0.04032 | 0.98209 | 0.90747 | 1.06285 | 0.65409 |
| 18 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | -0.00851 | 0.03562 | 0.99153 | 0.92467 | 1.06322 | 0.81117 |
| 19 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 20 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.5650 | 0.4552 | 0.56836 | 0.23290 | 1.38698 | 0.21462 |
| 21 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.03101 | 0.03970 | 0.96946 | 0.89688 | 1.04792 | 0.43483 |
| 22 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 23 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.06150 | 0.02257 | 0.94036 | 0.89967 | 0.98288 | 0.00647 |
| 24 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | 0.07470 | 0.1502 | 1.07756 | 0.80273 | 1.44648 | 0.61906 |
| 25 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 26 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.09894 | 0.02060 | 1.10400 | 1.06032 | 1.14948 | 0.00000 |
| 27 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 28 | HCV_DIAG | _ | _ | _ | _ | Yes | Yes | 0.3511 | 0.02430 | 1.42063 | 1.35457 | 1.48992 | 0.00000 |
| 29 | HCV_DIAG | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.06551 | 0.2218 | 0.93659 | 0.60639 | 1.44657 | 0.76776 |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.2548 | 0.2388 | 0.77505 | 0.48534 | 1.23768 | 0.28629 |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.06990 | 0.08266 | 0.93249 | 0.79301 | 1.09649 | 0.39798 |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.06422 | 0.06775 | 1.06633 | 0.93372 | 1.21776 | 0.34345 |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.02824 | 0.1182 | 1.02864 | 0.81589 | 1.29688 | 0.81124 |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.05611 | 0.04484 | 0.94543 | 0.86589 | 1.03228 | 0.21105 |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.3352 | 0.2222 | 1.39827 | 0.90465 | 2.16126 | 0.13162 |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.09590 | 0.03897 | 1.10065 | 1.01971 | 1.18801 | 0.01403 |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . |
| 13 | HCV_DIAG | _ | _ | _ | _ | Yes | No | 0.2018 | 0.05005 | 1.22362 | 1.10928 | 1.34975 | 0.00006 |
| 14 | HCV_DIAG | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . |
| 15 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | -0.02603 | 0.1110 | 0.97431 | 0.78388 | 1.21101 | 0.81457 |
| 16 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.06107 | 0.08686 | 0.94076 | 0.79349 | 1.11535 | 0.48208 |
| 17 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.01736 | 0.04463 | 0.98279 | 0.90047 | 1.07264 | 0.69740 |
| 18 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | 0.01076 | 0.03929 | 1.01082 | 0.93590 | 1.09173 | 0.78423 |
| 19 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 20 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.6113 | 0.4585 | 0.54266 | 0.22091 | 1.33299 | 0.18263 |
| 21 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.03587 | 0.04369 | 0.96477 | 0.88559 | 1.05103 | 0.41181 |
| 22 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 23 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.06112 | 0.02469 | 0.94071 | 0.89628 | 0.98735 | 0.01338 |
| 24 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | 0.05289 | 0.1824 | 1.05431 | 0.73742 | 1.50739 | 0.77187 |
| 25 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 26 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.08753 | 0.02230 | 1.09148 | 1.04479 | 1.14025 | 0.00009 |
| 27 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . |
| 28 | HCV_DIAG | _ | _ | _ | _ | Yes | Yes | 0.3995 | 0.02684 | 1.49102 | 1.41462 | 1.57155 | 0.00000 |
| 29 | HCV_DIAG | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | FACILITY_ID_BIRTH | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.07632 | 0.2074 | 0.92652 | 0.61703 | 1.39124 | 0.71298 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.1992 | 0.2323 | 0.81939 | 0.51971 | 1.29189 | 0.39139 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.08842 | 0.07513 | 0.91537 | 0.79003 | 1.06060 | 0.23949 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.05380 | 0.06342 | 1.05527 | 0.93191 | 1.19496 | 0.39653 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.03324 | 0.1034 | 1.03380 | 0.84409 | 1.26615 | 0.74799 | |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.05106 | 0.04244 | 0.95022 | 0.87438 | 1.03264 | 0.22913 | |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.1107 | 0.1901 | 1.11710 | 0.76962 | 1.62146 | 0.56032 | |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.08530 | 0.03618 | 1.08905 | 1.01449 | 1.16909 | 0.01856 | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . | |
| 13 | HCV_DIAG | _ | _ | _ | _ | Yes | No | 0.1574 | 0.04590 | 1.17041 | 1.06971 | 1.28060 | 0.00063 | |
| 14 | HCV_DIAG | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . | |
| 15 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2006 | No | 0.4306 | 0.1939 | 1.53821 | 1.05189 | 2.24936 | 0.02654 |
| 16 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2007 | No | -0.2845 | 0.1218 | 0.75236 | 0.59258 | 0.95522 | 0.01965 |
| 17 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2014 | No | -0.07216 | 0.1057 | 0.93038 | 0.75625 | 1.14461 | 0.49505 |
| 18 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2018 | No | 0.3069 | 0.2101 | 1.35919 | 0.90043 | 2.05169 | 0.14434 |
| 19 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2020 | No | 0.2695 | 0.1940 | 1.30929 | 0.89515 | 1.91503 | 0.16507 |
| 20 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2022 | No | 0.2332 | 0.1293 | 1.26261 | 0.98004 | 1.62665 | 0.07148 |
| 21 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2036 | No | -0.01782 | 0.1536 | 0.98234 | 0.72695 | 1.32745 | 0.90767 |
| 22 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2040 | No | -0.04229 | 0.07672 | 0.95859 | 0.82476 | 1.11414 | 0.58160 |
| 23 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2044 | No | -0.5165 | 0.5029 | 0.59663 | 0.22267 | 1.59863 | 0.30461 |
| 24 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2058 | No | 0.1992 | 0.1313 | 1.22040 | 0.94346 | 1.57864 | 0.12959 |
| 25 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2069 | No | 0.1151 | 0.1162 | 1.12198 | 0.89345 | 1.40896 | 0.32216 |
| 26 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2071 | No | 0.09227 | 0.1728 | 1.09666 | 0.78159 | 1.53876 | 0.59346 |
| 27 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2075 | No | 0.3402 | 0.2512 | 1.40525 | 0.85883 | 2.29931 | 0.17591 |
| 28 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2082 | No | -0.4140 | 0.1728 | 0.66102 | 0.47109 | 0.92752 | 0.01676 |
| 29 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2085 | No | 0.06993 | 0.09570 | 1.07243 | 0.88902 | 1.29368 | 0.46512 |
| 30 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2094 | No | -0.3979 | 0.4935 | 0.67172 | 0.25535 | 1.76701 | 0.42020 |
| 31 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2099 | No | 0.06433 | 0.1391 | 1.06645 | 0.81190 | 1.40080 | 0.64391 |
| 32 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2100 | No | 0.1105 | 0.3528 | 1.11683 | 0.55931 | 2.23011 | 0.75420 |
| 33 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2105 | No | 0.007148 | 0.1726 | 1.00717 | 0.71804 | 1.41274 | 0.96698 |
| 34 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2106 | No | 0.1629 | 0.1234 | 1.17689 | 0.92403 | 1.49893 | 0.18716 |
| 35 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2107 | No | -0.08381 | 0.08229 | 0.91960 | 0.78263 | 1.08055 | 0.30864 |
| 36 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2108 | No | -0.07892 | 0.1426 | 0.92411 | 0.69883 | 1.22203 | 0.57998 |
| 37 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2114 | No | -0.1158 | 0.2892 | 0.89062 | 0.50528 | 1.56983 | 0.68881 |
| 38 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2118 | No | 0.1935 | 0.1217 | 1.21351 | 0.95604 | 1.54033 | 0.11199 |
| 39 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2120 | No | -0.07982 | 0.2151 | 0.92328 | 0.60567 | 1.40744 | 0.71067 |
| 40 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2124 | No | -0.01047 | 0.06821 | 0.98958 | 0.86575 | 1.13112 | 0.87800 |
| 41 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2127 | No | -0.04972 | 0.1404 | 0.95150 | 0.72266 | 1.25279 | 0.72324 |
| 42 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2128 | No | -0.06846 | 0.09598 | 0.93383 | 0.77370 | 1.12711 | 0.47582 |
| 43 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2135 | No | -0.1207 | 0.1059 | 0.88627 | 0.72015 | 1.09072 | 0.25450 |
| 44 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2143 | No | 0.05944 | 0.3508 | 1.06124 | 0.53363 | 2.11051 | 0.86547 |
| 45 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2145 | No | -0.05961 | 0.1588 | 0.94213 | 0.69011 | 1.28619 | 0.70749 |
| 46 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2149 | No | 0.1050 | 0.1332 | 1.11072 | 0.85557 | 1.44196 | 0.43054 |
| 47 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2155 | No | 0.05301 | 0.1314 | 1.05444 | 0.81506 | 1.36414 | 0.68665 |
| 48 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2168 | No | -0.1283 | 0.1083 | 0.87963 | 0.71146 | 1.08756 | 0.23638 |
| 49 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2225 | No | 0.05362 | 0.1734 | 1.05509 | 0.75104 | 1.48223 | 0.75723 |
| 50 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2289 | No | 0.1500 | 0.1523 | 1.16186 | 0.86204 | 1.56597 | 0.32475 |
| 51 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2299 | No | 0.1113 | 0.09820 | 1.11777 | 0.92207 | 1.35500 | 0.25711 |
| 52 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2307 | No | 0.1307 | 0.08960 | 1.13957 | 0.95604 | 1.35834 | 0.14504 |
| 53 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2311 | No | -0.06129 | 0.1062 | 0.94055 | 0.76375 | 1.15828 | 0.56413 |
| 54 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2313 | No | -0.1513 | 0.09828 | 0.85958 | 0.70897 | 1.04219 | 0.12396 |
| 55 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2337 | No | 0.1450 | 0.07836 | 1.15600 | 0.99142 | 1.34790 | 0.06457 |
| 56 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2339 | No | -0.01277 | 0.07201 | 0.98731 | 0.85735 | 1.13697 | 0.85926 |
| 57 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2341 | No | 0.01896 | 0.1146 | 1.01914 | 0.81419 | 1.27569 | 0.86857 |
| 58 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2010 | No | 0 | . | 1.00000 | . | . | . |
| 59 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | 0.04638 | 0.09726 | 1.04747 | 0.86568 | 1.26745 | 0.63349 | |
| 60 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.01581 | 0.07865 | 0.98432 | 0.84370 | 1.14837 | 0.84074 | |
| 61 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.06830 | 0.04067 | 0.93398 | 0.86241 | 1.01149 | 0.09328 | |
| 62 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | -0.00148 | 0.03673 | 0.99852 | 0.92917 | 1.07305 | 0.96788 | |
| 63 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 64 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.5650 | 0.4523 | 0.56835 | 0.23421 | 1.37918 | 0.21171 | |
| 65 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.06630 | 0.04022 | 0.93585 | 0.86491 | 1.01261 | 0.09941 | |
| 66 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 67 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.05048 | 0.02393 | 0.95078 | 0.90721 | 0.99643 | 0.03502 | |
| 68 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | 0.02776 | 0.1492 | 1.02815 | 0.76750 | 1.37732 | 0.85237 | |
| 69 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 70 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.07856 | 0.02150 | 1.08173 | 1.03709 | 1.12829 | 0.00026 | |
| 71 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 72 | HCV_DIAG | _ | _ | _ | _ | Yes | Yes | 0.3442 | 0.02433 | 1.41092 | 1.34521 | 1.47984 | 0.00000 | |
| 73 | HCV_DIAG | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . | |
| 74 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2006 | Yes | -0.1605 | 0.08159 | 0.85176 | 0.72588 | 0.99947 | 0.04938 |
| 75 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2007 | Yes | -0.05747 | 0.06418 | 0.94415 | 0.83255 | 1.07071 | 0.37068 |
| 76 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2014 | Yes | -0.1699 | 0.09532 | 0.84371 | 0.69994 | 1.01702 | 0.07473 |
| 77 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2018 | Yes | 0.2321 | 0.1068 | 1.26127 | 1.02314 | 1.55484 | 0.02979 |
| 78 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2020 | Yes | 0.01668 | 0.07783 | 1.01682 | 0.87296 | 1.18439 | 0.83029 |
| 79 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2022 | Yes | 0.1889 | 0.1202 | 1.20796 | 0.95434 | 1.52899 | 0.11625 |
| 80 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2036 | Yes | -0.1416 | 0.08387 | 0.86793 | 0.73636 | 1.02301 | 0.09141 |
| 81 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2040 | Yes | 0.000449 | 0.07651 | 1.00045 | 0.86113 | 1.16230 | 0.99532 |
| 82 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2042 | Yes | -0.5870 | 0.4401 | 0.55601 | 0.23469 | 1.31727 | 0.18247 |
| 83 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2044 | Yes | -0.04565 | 0.1894 | 0.95537 | 0.65907 | 1.38490 | 0.80957 |
| 84 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2052 | Yes | -0.1076 | 0.2394 | 0.89798 | 0.56172 | 1.43554 | 0.65310 |
| 85 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2058 | Yes | 0.05027 | 0.08032 | 1.05156 | 0.89838 | 1.23085 | 0.53147 |
| 86 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2069 | Yes | 0.04378 | 0.06879 | 1.04476 | 0.91297 | 1.19556 | 0.52454 |
| 87 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2071 | Yes | 0.07101 | 0.1122 | 1.07359 | 0.86172 | 1.33756 | 0.52673 |
| 88 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2075 | Yes | 0.03070 | 0.09451 | 1.03118 | 0.85681 | 1.24103 | 0.74533 |
| 89 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2082 | Yes | 0.08852 | 0.07130 | 1.09256 | 0.95007 | 1.25641 | 0.21453 |
| 90 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2085 | Yes | -0.06101 | 0.1133 | 0.94081 | 0.75349 | 1.17471 | 0.59024 |
| 91 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2094 | Yes | 0.02265 | 0.07780 | 1.02291 | 0.87824 | 1.19142 | 0.77094 |
| 92 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2099 | Yes | 0.02108 | 0.08030 | 1.02130 | 0.87257 | 1.19539 | 0.79294 |
| 93 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2100 | Yes | 0.03481 | 0.09274 | 1.03542 | 0.86333 | 1.24182 | 0.70744 |
| 94 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2105 | Yes | 0.02109 | 0.08303 | 1.02131 | 0.86792 | 1.20182 | 0.79954 |
| 95 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2106 | Yes | 0.02669 | 0.09206 | 1.02705 | 0.85749 | 1.23014 | 0.77188 |
| 96 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2107 | Yes | 0.01084 | 0.05810 | 1.01090 | 0.90210 | 1.13283 | 0.85198 |
| 97 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2108 | Yes | 0.04040 | 0.1128 | 1.04122 | 0.83466 | 1.29891 | 0.72034 |
| 98 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2114 | Yes | -0.09872 | 0.1390 | 0.90600 | 0.68994 | 1.18972 | 0.47765 |
| 99 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2118 | Yes | 0.04044 | 0.06552 | 1.04127 | 0.91578 | 1.18396 | 0.53712 |
| 100 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2120 | Yes | -0.09366 | 0.08817 | 0.91060 | 0.76608 | 1.08237 | 0.28825 |
| 101 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2124 | Yes | -0.09481 | 0.06727 | 0.90955 | 0.79719 | 1.03774 | 0.15890 |
| 102 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2127 | Yes | -0.07031 | 0.07958 | 0.93211 | 0.79749 | 1.08944 | 0.37706 |
| 103 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2128 | Yes | -0.00961 | 0.07771 | 0.99044 | 0.85051 | 1.15338 | 0.90159 |
| 104 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2135 | Yes | -0.02025 | 0.06156 | 0.97995 | 0.86856 | 1.10563 | 0.74225 |
| 105 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2143 | Yes | -0.4638 | 0.4497 | 0.62889 | 0.26046 | 1.51845 | 0.30252 |
| 106 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2145 | Yes | -0.2167 | 0.1157 | 0.80515 | 0.64175 | 1.01014 | 0.06125 |
| 107 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2149 | Yes | 0.05222 | 0.09556 | 1.05361 | 0.87365 | 1.27063 | 0.58479 |
| 108 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2155 | Yes | 0.2663 | 0.1315 | 1.30513 | 1.00863 | 1.68879 | 0.04294 |
| 109 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2168 | Yes | -0.06970 | 0.06608 | 0.93268 | 0.81938 | 1.06164 | 0.29168 |
| 110 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2225 | Yes | 0.1621 | 0.09968 | 1.17594 | 0.96726 | 1.42966 | 0.10409 |
| 111 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2289 | Yes | -0.01571 | 0.06973 | 0.98441 | 0.85866 | 1.12858 | 0.82179 |
| 112 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2299 | Yes | 0.06079 | 0.08274 | 1.06267 | 0.90359 | 1.24976 | 0.46260 |
| 113 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2307 | Yes | 0.2185 | 0.05403 | 1.24421 | 1.11918 | 1.38320 | 0.00005 |
| 114 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2311 | Yes | 0.09399 | 0.07393 | 1.09855 | 0.95036 | 1.26983 | 0.20374 |
| 115 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2313 | Yes | -0.1770 | 0.07471 | 0.83781 | 0.72368 | 0.96993 | 0.01794 |
| 116 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2337 | Yes | -0.06423 | 0.06265 | 0.93779 | 0.82943 | 1.06031 | 0.30537 |
| 117 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2339 | Yes | -0.09676 | 0.06441 | 0.90778 | 0.80011 | 1.02993 | 0.13321 |
| 118 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2341 | Yes | 0.03208 | 0.06365 | 1.03260 | 0.91148 | 1.16980 | 0.61437 |
| 119 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3001 | Yes | -0.1196 | 0.4500 | 0.88731 | 0.36731 | 2.14349 | 0.79050 |
| 120 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 3006 | Yes | -0.4133 | 0.4502 | 0.66145 | 0.27368 | 1.59865 | 0.35871 |
| 121 | FACILITY_ID_BIRTH | _ | _ | _ | _ | _ | 2010 | Yes | 0 | . | 1.00000 | . | . | . |
| Obs | Effect | MOMS_FINAL_RE | foreign_born | LD_PAY | MOUD_DURING_PREG | HCV_DIAG | MED_PROV_COUNTY | DISCH_WITH_MOM | Estimate | StdErr | OddsRatio | LowerCL | UpperCL | PValue |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | No | -0.02654 | 0.2210 | 0.97381 | 0.63143 | 1.50184 | 0.90446 | |
| 2 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | No | -0.2885 | 0.2373 | 0.74938 | 0.47067 | 1.19314 | 0.22446 | |
| 3 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | No | -0.1006 | 0.08310 | 0.90433 | 0.76841 | 1.06430 | 0.22656 | |
| 4 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | No | 0.06581 | 0.06786 | 1.06802 | 0.93502 | 1.21995 | 0.33244 | |
| 5 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 6 | foreign_born | _ | Yes | _ | _ | _ | No | 0.05937 | 0.1211 | 1.06117 | 0.83698 | 1.34540 | 0.62399 | |
| 7 | foreign_born | _ | No | _ | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 8 | LD_PAY | _ | _ | Private | _ | _ | No | -0.05311 | 0.04474 | 0.94828 | 0.86866 | 1.03519 | 0.23551 | |
| 9 | LD_PAY | _ | _ | Unknown | _ | _ | No | 0.3154 | 0.2210 | 1.37078 | 0.88894 | 2.11379 | 0.15382 | |
| 10 | LD_PAY | _ | _ | Public | _ | _ | No | 0 | . | 1.00000 | . | . | . | |
| 11 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | No | 0.1081 | 0.03894 | 1.11417 | 1.03230 | 1.20253 | 0.00560 | |
| 12 | MOUD_DURING_PREG | _ | _ | _ | No | _ | No | 0 | . | 1.00000 | . | . | . | |
| 13 | HCV_DIAG | _ | _ | _ | _ | Yes | No | 0.2069 | 0.05010 | 1.22987 | 1.11484 | 1.35676 | 0.00004 | |
| 14 | HCV_DIAG | _ | _ | _ | _ | No | No | 0 | . | 1.00000 | . | . | . | |
| 15 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BARNSTABLE | No | -0.1149 | 0.08476 | 0.89149 | 0.75503 | 1.05261 | 0.17572 |
| 16 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BERKSHIRE | No | -0.2749 | 0.08597 | 0.75966 | 0.64185 | 0.89909 | 0.00144 |
| 17 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BRISTOL | No | -0.1578 | 0.05675 | 0.85399 | 0.76409 | 0.95446 | 0.00552 |
| 18 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | ESSEX | No | 0.01462 | 0.06879 | 1.01473 | 0.88674 | 1.16119 | 0.83169 |
| 19 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | FRANKLIN | No | -0.5913 | 0.2869 | 0.55360 | 0.31549 | 0.97142 | 0.03955 |
| 20 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPDEN | No | -0.06132 | 0.05940 | 0.94052 | 0.83715 | 1.05666 | 0.30222 |
| 21 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPSHIRE | No | -0.07394 | 0.1255 | 0.92873 | 0.72626 | 1.18764 | 0.55579 |
| 22 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | Missing/Unknown/Invalid | No | -0.2554 | 0.1136 | 0.77459 | 0.61996 | 0.96779 | 0.02478 |
| 23 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NANTUCKET | No | -0.7250 | 0.5050 | 0.48433 | 0.18000 | 1.30319 | 0.15142 |
| 24 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NORFOLK | No | -0.1399 | 0.08018 | 0.86948 | 0.74303 | 1.01745 | 0.08142 |
| 25 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | PLYMOUTH | No | -0.04585 | 0.06377 | 0.95519 | 0.84296 | 1.08236 | 0.47237 |
| 26 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | SUFFOLK | No | -0.00199 | 0.06682 | 0.99801 | 0.87551 | 1.13766 | 0.97626 |
| 27 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | WORCESTER | No | -0.1356 | 0.05166 | 0.87318 | 0.78910 | 0.96621 | 0.00880 |
| 28 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | MIDDLESEX | No | 0 | . | 1.00000 | . | . | . |
| 29 | MOMS_FINAL_RE | American Indian or Other non-Hispanic | _ | _ | _ | _ | Yes | -0.01083 | 0.1096 | 0.98923 | 0.79803 | 1.22625 | 0.92132 | |
| 30 | MOMS_FINAL_RE | Asian/PI non-Hispanic | _ | _ | _ | _ | Yes | -0.07259 | 0.08670 | 0.92998 | 0.78464 | 1.10225 | 0.40261 | |
| 31 | MOMS_FINAL_RE | Black non-Hispanic | _ | _ | _ | _ | Yes | -0.06122 | 0.04512 | 0.94062 | 0.86100 | 1.02759 | 0.17505 | |
| 32 | MOMS_FINAL_RE | Hispanic | _ | _ | _ | _ | Yes | 0.01645 | 0.03972 | 1.01658 | 0.94044 | 1.09889 | 0.67891 | |
| 33 | MOMS_FINAL_RE | White Non-Hispanic | _ | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 34 | foreign_born | _ | Missing in dataset | _ | _ | _ | Yes | -0.6911 | 0.4539 | 0.50103 | 0.20583 | 1.21961 | 0.12802 | |
| 35 | foreign_born | _ | Yes | _ | _ | _ | Yes | -0.06423 | 0.04384 | 0.93779 | 0.86057 | 1.02193 | 0.14306 | |
| 36 | foreign_born | _ | No | _ | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 37 | LD_PAY | _ | _ | Private | _ | _ | Yes | -0.06381 | 0.02473 | 0.93818 | 0.89379 | 0.98478 | 0.00994 | |
| 38 | LD_PAY | _ | _ | Unknown | _ | _ | Yes | 0.03168 | 0.1833 | 1.03218 | 0.72067 | 1.47836 | 0.86281 | |
| 39 | LD_PAY | _ | _ | Public | _ | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 40 | MOUD_DURING_PREG | _ | _ | _ | Yes | _ | Yes | 0.09476 | 0.02237 | 1.09939 | 1.05224 | 1.14866 | 0.00002 | |
| 41 | MOUD_DURING_PREG | _ | _ | _ | No | _ | Yes | 0 | . | 1.00000 | . | . | . | |
| 42 | HCV_DIAG | _ | _ | _ | _ | Yes | Yes | 0.3939 | 0.02663 | 1.48277 | 1.40735 | 1.56223 | 0.00000 | |
| 43 | HCV_DIAG | _ | _ | _ | _ | No | Yes | 0 | . | 1.00000 | . | . | . | |
| 44 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BARNSTABLE | Yes | -0.1172 | 0.04686 | 0.88944 | 0.81139 | 0.97499 | 0.01249 |
| 45 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BERKSHIRE | Yes | -0.2765 | 0.06621 | 0.75841 | 0.66611 | 0.86350 | 0.00003 |
| 46 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | BRISTOL | Yes | -0.1218 | 0.03935 | 0.88532 | 0.81960 | 0.95631 | 0.00200 |
| 47 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | DUKES | Yes | -0.2412 | 0.2120 | 0.78572 | 0.51859 | 1.19043 | 0.25542 |
| 48 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | ESSEX | Yes | -0.1109 | 0.04132 | 0.89507 | 0.82545 | 0.97057 | 0.00736 |
| 49 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | FRANKLIN | Yes | -0.3447 | 0.1284 | 0.70843 | 0.55078 | 0.91120 | 0.00733 |
| 50 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPDEN | Yes | -0.1740 | 0.04857 | 0.84033 | 0.76402 | 0.92426 | 0.00035 |
| 51 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | HAMPSHIRE | Yes | 0.01206 | 0.1009 | 1.01213 | 0.83050 | 1.23349 | 0.90488 |
| 52 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | Missing/Unknown/Invalid | Yes | -0.1413 | 0.05886 | 0.86821 | 0.77361 | 0.97437 | 0.01643 |
| 53 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NANTUCKET | Yes | -0.08339 | 0.2641 | 0.92000 | 0.54827 | 1.54375 | 0.75222 |
| 54 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | NORFOLK | Yes | -0.08290 | 0.04778 | 0.92045 | 0.83817 | 1.01080 | 0.08287 |
| 55 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | PLYMOUTH | Yes | -0.07051 | 0.04059 | 0.93192 | 0.86065 | 1.00908 | 0.08251 |
| 56 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | SUFFOLK | Yes | 0.05693 | 0.03857 | 1.05859 | 0.98151 | 1.14172 | 0.14010 |
| 57 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | WORCESTER | Yes | -0.06470 | 0.03857 | 0.93735 | 0.86910 | 1.01095 | 0.09359 |
| 58 | MED_PROV_COUNTY | _ | _ | _ | _ | _ | MIDDLESEX | Yes | 0 | . | 1.00000 | . | . | . |